CN115167546A - Aircraft engine rotating speed adjusting control method, control device and storage medium - Google Patents

Aircraft engine rotating speed adjusting control method, control device and storage medium Download PDF

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CN115167546A
CN115167546A CN202211031370.2A CN202211031370A CN115167546A CN 115167546 A CN115167546 A CN 115167546A CN 202211031370 A CN202211031370 A CN 202211031370A CN 115167546 A CN115167546 A CN 115167546A
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switching
dynamic event
random
undisturbed
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杨东
谢静
侯林林
宗广灯
孙海滨
冯清川
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Qufu Normal University
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    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05DSYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D13/00Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover
    • G05D13/62Control of linear speed; Control of angular speed; Control of acceleration or deceleration, e.g. of a prime mover characterised by the use of electric means, e.g. use of a tachometric dynamo, use of a transducer converting an electric value into a displacement
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B64AIRCRAFT; AVIATION; COSMONAUTICS
    • B64DEQUIPMENT FOR FITTING IN OR TO AIRCRAFT; FLIGHT SUITS; PARACHUTES; ARRANGEMENT OR MOUNTING OF POWER PLANTS OR PROPULSION TRANSMISSIONS IN AIRCRAFT
    • B64D31/00Power plant control systems; Arrangement of power plant control systems in aircraft

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Abstract

An aircraft engine speed regulation control method, a control device and a storage medium, wherein the method comprises the following steps: establishing an aeroengine switching control system model influenced by deterministic factors and random factors; determining a random promiscuous handover mechanism affected by deterministic factors and random factors; determining a dynamic event trigger sampling mechanism based on the random hybrid switching mechanism by using a preset dynamic event model; according to a preset undisturbed switching mechanism, based on the dynamic event trigger sampling mechanism, obtaining an undisturbed switching dynamic event trigger control scheme of the aircraft engine switching control system; and determining the parameters of the event-triggered undisturbed switching controller according to the random mixed switching mechanism and the undisturbed switching dynamic event trigger control scheme. The method can obviously improve the transient performance of the switching control mechanism, effectively reduce the information quantity in the communication channel, save system resources and is suitable for the rotating speed regulation control of an aircraft engine control system.

Description

Aircraft engine rotating speed adjusting control method, control device and storage medium
Technical Field
The invention belongs to the technical field of automatic control, and particularly relates to a method, a device and a storage medium for regulating and controlling the rotating speed of an aircraft engine.
Background
Switching systems have a wide application background in the fields of aerospace, intelligent manufacturing, industrial processes and the like, and are receiving more and more attention. Switching systems exhibit multiple complexities due to the dynamic nature of the subsystems interleaved with the switching characteristics. The switching system includes a switching signal in addition to variables such as states, outputs, and inputs, which are the same as those of the non-switching system.
Along with the mutual penetration and mutual fusion of a network technology and a system control technology, the dependence degree of a modern control task of an aero-engine control system on a network is gradually improved, the contradiction between the task of switching control design and the task of pursuing smooth transition of the performance of the aero-engine control system is more and more prominent, and the important problem which needs to be solved urgently in the current aero-engine control system research is how to design a practical switching signal and research to realize the smooth transition of the performance between different modes under the designed switching signal.
Disclosure of Invention
An aircraft engine rotating speed regulation control method comprises the following steps: establishing an aeroengine switching control system model influenced by deterministic factors and random factors, designing a random hybrid switching mechanism simultaneously influenced by both the deterministic factors and the random factors, giving a dynamic event triggering sampling mechanism by utilizing an additional dynamic event model, introducing an undisturbed switching mechanism, obtaining an undisturbed switching dynamic event triggering controller design scheme of the aeroengine switching control system, and solving parameters of an event triggering undisturbed switching controller; the method can obviously improve the transient performance of the switching control mechanism, effectively reduce the information quantity in the communication channel, save system resources and is suitable for the rotating speed regulation control of an aircraft engine control system.
The technical problem to be solved by the invention is as follows: the undisturbed switching constraint condition is reconstructed, and the undisturbed switching dynamic event triggering strategy of the aircraft engine switching control system is provided by utilizing a dynamic event triggering sampling mechanism and a random mixed switching mechanism which is simultaneously influenced by both deterministic factors and random factors, so that the speed regulation control problem of the aircraft engine switching control system is solved, and the undisturbed switching performance is ensured.
In order to solve the above problem, the present invention provides, in a first aspect, an aircraft engine speed regulation control method, including:
establishing an aeroengine switching control system model influenced by deterministic factors and random factors;
determining a random promiscuous handover mechanism affected by deterministic factors and random factors;
determining a dynamic event trigger sampling mechanism based on a random hybrid switching mechanism by using a preset dynamic event model;
according to a preset undisturbed switching mechanism, a dynamic event trigger sampling mechanism is used for obtaining an undisturbed switching dynamic event trigger control scheme of the aero-engine switching control system;
and determining the parameters of the event-triggered undisturbed switching controller according to a random mixed switching mechanism and an undisturbed switching dynamic event-triggered control scheme.
In some implementations of the first aspect, the model of the aircraft engine switching control system that is affected by deterministic and stochastic factors is:
Figure BDA0003817275920000021
wherein, x (t), u σ(t) (t), z (t) and ω (t) represent the system state, control input, controlled output and external disturbances respectively,
Figure BDA0003817275920000022
is a member of a tight collection
Figure BDA0003817275920000023
Of the scheduling variable, p i Is ρThe (c) th element of (a),
Figure BDA0003817275920000024
is the rate of change of rho in an s-dimensional vector space
Figure BDA0003817275920000025
Is that the material is bounded by the surface,
Figure BDA0003817275920000026
i=1,...,s,
Figure BDA0003817275920000027
is that
Figure BDA0003817275920000028
The (c) th element of (a),ρ i is that
Figure BDA0003817275920000029
The lower bound of (a) is,
Figure BDA00038172759200000210
is that
Figure BDA00038172759200000211
Upper bound of (A), the scheduling variable ρ is measurable in real time, A σ(t) (ρ)、B σ(t) (ρ)、C σ(t) (ρ)、D σ(t) (ρ)、M σ(t) (p) and N σ(t) (p) is a continuous matrix function with respect to the scheduling variable p,
Figure BDA00038172759200000212
is a function of the switching of the network,
Figure BDA00038172759200000213
is a positive real number set, H is a positive integer set, the switching function σ (t) is used to assign the activation state of the subsystem, τ r R =0,1,2.. Is the switching time, when t e [ τ ∈ rr+1 ) When σ (t) = k, k ∈ H, that is, the kth subsystem is activated, and the state trajectory of the kth subsystem is the state trajectory of the system (1.1).
In some implementations of the first aspect, determining a random promiscuous handover mechanism affected by deterministic and stochastic factors includes:
given a time constant T k Let τ be r+1r ≥T k Definition of
Figure BDA0003817275920000031
Figure BDA0003817275920000032
k∈H,l=0,1,...,L k -1, r =0,1,2, ·, time interval
Figure BDA0003817275920000033
When t ∈ [ tau ] rr+1 ) When σ (t) = k, k ∈ H, based on deterministic switching rules, for τ r ≤t<τ r +T k The transition probability of the system from the mode k at the time t to the mode j at the time t + delta is
Figure BDA0003817275920000034
Wherein, delta is more than 0 and less than or equal to tau r +T k -t,k,j∈H,r=0,1,2,...;
When tau is r +T k ≤t<τ r+1 Based on the randomness switching rule, the transition probability of the system from the mode k at the time t to the mode j at the time t + delta is
Figure BDA0003817275920000035
Wherein the content of the first and second substances,
Figure BDA0003817275920000036
Δ > 0,o (Δ) is a high order infinitesimal quantity of Δ, π kj Is the transfer rate from modality k to modality j, and
Figure BDA0003817275920000037
k,j∈H,r=0,1,2,...。
in some implementations of the first aspect, determining a dynamic event trigger sampling mechanism based on a random promiscuous handover mechanism using a preset dynamic event model includes:
definition of
Figure BDA0003817275920000038
In order to trigger the sampling sequence,
Figure BDA0003817275920000039
to trigger the sampling instant, wherein,
Figure BDA00038172759200000310
is a set of real numbers, the current trigger sampling instant
Figure BDA00038172759200000311
Less than the next trigger sample time
Figure BDA00038172759200000312
And the next trigger sample time
Figure BDA00038172759200000313
Is composed of
Figure BDA0003817275920000041
Wherein · - T Representing the transpose of a vector or matrix,
Figure BDA0003817275920000042
is the state sampling error, ξ σ(t) Is a non-negative constant, epsilon σ(t) Is a normal number, Ψ σ(t) (t, ρ) and φ σ(t) (t, ρ) are tuning parameters, η (t) satisfies a predetermined dynamic event model
Figure BDA0003817275920000043
Wherein the content of the first and second substances,
Figure BDA0003817275920000044
is an initial condition of eta (t), epsilon σ(t) Is a normal number, when σ (t) = k, k ∈ H, the adjusting parameter Φ k (t, ρ) and Ψ k (t, ρ) is selected as follows
Figure BDA0003817275920000045
Figure BDA0003817275920000046
Wherein, 1-L k /T k (t-τ k,l )>0,L k /T k (t-τ k,l )>0,Φ k,l (ρ)>0,
Figure BDA00038172759200000411
Ψ k,l (ρ)>0,
Figure BDA00038172759200000410
k∈H,l=0,1,...,L k -1,r =0,1,2,. Is a tuning parameter;
calculating a value of the state sample based on the determined dynamic event trigger sampling mechanism
Figure BDA0003817275920000047
In some implementations of the first aspect, obtaining an undisturbed switching dynamic event trigger control scheme of an aircraft engine switching control system based on a dynamic event trigger sampling mechanism according to a preset undisturbed switching mechanism includes:
based on triggering the sampling mechanism according to the determined dynamic event, calculating the obtained state sampling value
Figure BDA0003817275920000048
Determining that an event triggers a switching controller to
Figure BDA0003817275920000049
Wherein the content of the first and second substances,
Figure BDA0003817275920000051
indicating the last transmitted state value, K σ(t) (t, ρ) is the controller gain to be designed, in the form of σ (t) = k, k ∈ H when σ (t) = k, k ∈ H
Figure BDA0003817275920000052
Wherein, K k (t, ρ) and
Figure BDA0003817275920000053
to design variables such that
(i) When ω (t) =0, the system (1.1) is stable;
(ii) Designed event-triggered switching controller (4.1) satisfies constraints
Figure BDA0003817275920000054
Wherein the content of the first and second substances,
Figure BDA0003817275920000055
is a normal number which is a positive number,
Figure BDA0003817275920000056
is a virtual control signal that is a virtual control signal,
Figure BDA0003817275920000057
is the virtual control gain, | | | · | | is the 2 norm of the vector;
(iii) System (1.1) under zero initial conditions, the constant γ > 0 exists for all
Figure BDA00038172759200000515
z (t) satisfies
Figure BDA0003817275920000058
Wherein the content of the first and second substances,
Figure BDA0003817275920000059
is an n-willebrand-lattice integrable space,
Figure BDA00038172759200000510
is a mathematical expectation of a stochastic process.
In some implementations of the first aspect, determining the event-triggered undisturbed handover controller parameter according to the random promiscuous handover mechanism and the undisturbed handover dynamic event-triggered control scheme includes:
presetting a positive integer L k Positive number T k Selecting a positive number epsilon k ,γ k
Figure BDA00038172759200000511
k Matrix function Y k,l (ρ),
Figure BDA00038172759200000512
Positive definite matrix function X k,l (ρ),
Figure BDA00038172759200000513
Figure BDA00038172759200000514
For ρ ∈ Φ, k, j ∈ H, L =0,1 k 1, such that the inequality of 5.1-5.5 holds,
Figure BDA0003817275920000061
Figure BDA0003817275920000062
Figure BDA0003817275920000063
Figure BDA0003817275920000064
Figure BDA0003817275920000065
wherein the content of the first and second substances,
Figure BDA0003817275920000066
Figure BDA0003817275920000067
Figure BDA0003817275920000068
Figure BDA0003817275920000071
Figure BDA0003817275920000072
Figure BDA0003817275920000073
Figure BDA0003817275920000074
Figure BDA0003817275920000075
Figure BDA0003817275920000076
form a control gain K k Design variable K of (t, ρ) k (t, ρ) and
Figure BDA0003817275920000077
is composed of
Figure BDA0003817275920000078
In a second aspect, there is provided an aircraft engine speed regulation control apparatus, the apparatus comprising:
the establishing module is used for establishing an aircraft engine switching control system model influenced by deterministic factors and random factors;
the processing module is used for determining a random hybrid switching mechanism influenced by deterministic factors and random factors;
the processing module is also used for determining a dynamic event trigger sampling mechanism based on a random hybrid switching mechanism by utilizing a preset dynamic event model;
the processing module is also used for triggering a sampling mechanism based on a dynamic event according to a preset undisturbed switching mechanism to obtain an undisturbed switching dynamic event triggering control scheme of the aircraft engine switching control system;
and the processing module is also used for determining the parameters of the event-triggered undisturbed switching controller according to the random mixed switching mechanism and the undisturbed switching dynamic event-triggered control scheme.
In a third aspect, a computer storage medium is provided, on which computer program instructions are stored, which, when executed by a processor, implement the first aspect and any one of the implementation manners of the first aspect.
The invention has the beneficial effects that:
1) The model of the aircraft engine switching control system is described by using the stochastic hybrid switching model which is simultaneously influenced by both deterministic factors and stochastic factors, so that the characteristics of strong mixing and randomness of the aircraft engine switching control system can be well shown, and the dynamic characteristics of the aircraft engine switching control system can be well described.
2) By means of an additional dynamic event model, a dynamic event trigger sampling technology is designed, the size of information quantity in a communication channel is effectively reduced, and system resources are saved.
3) The method improves solvability conditions, optimizes the solving process and can solve the problem of undisturbed switching control of the aircraft engine switching control system.
Drawings
FIG. 1 is a schematic flow chart of a method for regulating and controlling the rotating speed of an aircraft engine according to the present invention;
fig. 2 is a schematic structural diagram of an aircraft engine speed regulation control device provided by the invention.
Detailed Description
Since the properties of the switching system are largely determined by the switching signal, the influence of the design of the switching signal on the switching system is self-evident. Although the introduction of switching systems and switching techniques brings an unprecedented opportunity for solving the complex control problem of an actual system with complex dynamics, the generated new problem cannot be ignored, in engineering practice, a control target can be realized only by switching a plurality of controllers, and due to the reasons that control signals are discontinuous at switching points, the states and the change rates of subsystems may have large changes, and the like, at this time, the switching may cause the performance of the system to oscillate in the transition process, and the stability of the system is damaged. The aero-engine works in a wide flight envelope and needs to operate in multiple working states, the external environment, the dynamic behavior rule and the control target of each mode are different, and corresponding switching of the controller is necessarily needed when different working modes are switched.
Along with the mutual penetration and mutual fusion of a network technology and a system control technology, the dependence degree of a modern control task of an aero-engine control system on a network is gradually improved, the contradiction between the task of switching control design and the task of pursuing smooth transition of the performance of the aero-engine control system is more and more prominent, and the important problem which needs to be solved urgently in the current aero-engine control system research is how to design a practical switching signal and research to realize the smooth transition of the performance between different modes under the designed switching signal. Based on the reasons, the invention provides a method for adjusting and controlling the rotating speed of an aircraft engine, which is a method for adjusting and controlling the rotating speed of an aircraft engine control system by considering dynamic event driving and undisturbed switching performance.
As shown in FIG. 1, the present invention is realized as follows (the speed control problem of the switching control system of an aircraft engine is taken as an example to explain the concrete realization of the method)
S101: establishing an aeroengine switching control system model influenced by deterministic factors and random factors;
s102: determining a random promiscuous handover mechanism affected by deterministic factors and random factors;
s103: determining a dynamic event trigger sampling mechanism based on a random hybrid switching mechanism by using a preset dynamic event model;
s104: according to a preset undisturbed switching mechanism, a dynamic event trigger sampling mechanism is based on, and an undisturbed switching dynamic event trigger control scheme of the aircraft engine switching control system is obtained;
s105: and determining the parameters of the event-triggered undisturbed switching controller according to a random mixed switching mechanism and the undisturbed switching dynamic event trigger control scheme.
In the step S101, establishing an aircraft engine switching control system model affected by deterministic factors and stochastic factors includes:
Figure BDA0003817275920000091
wherein, x (t), u σ(t) (t), z (t) and ω (t) represent the system state, control input, respectively,The controlled output and the external disturbance,
Figure BDA0003817275920000092
is a member of a tight collection
Figure BDA0003817275920000093
Of the scheduling variable, p i Is the i-th element in p,
Figure BDA0003817275920000094
is the rate of change of rho in an s-dimensional vector space
Figure BDA0003817275920000095
Is that the material is bounded by the surface,
Figure BDA0003817275920000096
i=1,...,s,
Figure BDA0003817275920000097
is that
Figure BDA0003817275920000098
The (c) th element of (a),ρ i is that
Figure BDA0003817275920000099
The lower bound of (a) is,
Figure BDA00038172759200000910
is that
Figure BDA00038172759200000911
Upper bound of (A), the scheduling variable ρ is measurable in real time, A σ(t) (ρ)、B σ(t) (ρ)、C σ(t) (ρ)、D σ(t) (ρ)、M σ(t) (p) and N σ(t) (p) is a continuous matrix function with respect to the scheduling variable p,
Figure BDA00038172759200000912
is a function of the switching of the network,
Figure BDA00038172759200000913
is a set of positive real numbers, H is a set of positive integers, the switching function σ (t) is used to assign the activation state of the subsystem, τ r R =0,1,2.. Is the switching time, when t e [ τ ∈ rr+1 ) When σ (t) = k, k ∈ H, that is, the kth subsystem is activated, and the state trajectory of the kth subsystem is the state trajectory of the system (1.1), in this example implementation, an aircraft engine switching control system model is established as follows
Figure BDA0003817275920000101
Figure BDA0003817275920000102
Wherein Δ n F Is the low pressure rotor speed increase, Δ n C Is the high pressure rotor speed increase, Δ W F Is the fuel flow increment, Δ z EPR Is the engine compression ratio increment, ω (t) is the degradation parameter of the aircraft engine, σ (t): [0, ∞) → {1,2} is the switching signal, ρ = [ ρ = ] ρ 12 ] T Is the scheduling variable, p 1 Is the Mach number, p 2 Is the height, Δ n F And Δ n C As a system state, Δ W F As control input,. DELTA.z EPR As a control output, ω (t) is taken as a disturbance, let k =1,2, parameterizing the system matrix, which can be expressed as
Figure BDA0003817275920000103
Figure BDA0003817275920000104
Figure BDA0003817275920000105
Figure BDA0003817275920000106
C 1 (ρ)=10 -5 [[-0.55 19.82]+ρ 1 [5.45 1.81]+ρ 2 [18.36 -0.55]],
C 2 (ρ)=10 -5 [[0 19.58]+ρ 1 [0 2.82]+ρ 2 [0 -0.56]],
D 1 (ρ)=0.0234+0.0018ρ 1 -0.0017ρ 2 ,D 2 (ρ)=0.0169+0.0034ρ 1 +0.0041ρ 2
Figure BDA0003817275920000107
The degradation parameter is selected to be omega (t) = e -t sint, mach number ρ is selected 1 In [0.1,0.4]Mach internal variation, height ρ 2 Is [0,0.8]×10 5 The length of each foot of the product,ρ i and
Figure BDA0003817275920000108
is 1.4.
In the step of determining the random promiscuous handover mechanism affected by the deterministic factor and the random factor in S102, the specific steps may be: given a time constant T k Let τ be r+1r ≥T k Definition of τ r,0 =τ r
Figure BDA0003817275920000109
k∈H,l=0,1,...,L k -1, r =0,1,2, ·, time interval
Figure BDA0003817275920000111
When t ∈ [ tau ] rr+1 ) When σ (t) = k, k ∈ H, a deterministic switching rule is first given, for τ r ≤t<τ r +T k System by modality at time tThe transition probability of modality j at time k to t + Δ is
Figure BDA0003817275920000112
Wherein, delta is more than 0 and less than or equal to tau r +T k -t, k, j ∈ H, r =0,1,2, then give a stochastic switching rule when τ is r +T k ≤t<τ r+1 The transition probability of the system from the mode k at the time t to the mode j at the time t + delta is
Figure BDA0003817275920000113
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003817275920000114
Δ > 0,o (Δ) is a high order infinitesimal quantity of Δ, π kj Is the transfer rate from modality k to modality j, and
Figure BDA0003817275920000115
k, j ∈ H, r =0,1,2, in this example implementation, k =1,2,t 1 =T 2 =0.6,L k =1,π 11 =-0.4,π 12 =0.4,π 21 =0.3,π 22 =-0.3。
In step S103, determining a dynamic event trigger sampling mechanism based on the random promiscuous switching mechanism by using a preset dynamic event model, specifically: definition of
Figure BDA0003817275920000116
Is a sequence of trigger samples that are,
Figure BDA0003817275920000117
is the trigger sampling instant, wherein,
Figure BDA00038172759200001113
is a set of real numbers, the current trigger sampling instant
Figure BDA0003817275920000118
Less than the next trigger sample time
Figure BDA0003817275920000119
And the next trigger sample time
Figure BDA00038172759200001110
Is composed of
Figure BDA00038172759200001111
Wherein · - T Representing the transpose of a vector or matrix,
Figure BDA00038172759200001112
is the state sampling error, ξ σ(t) Is a non-negative constant, epsilon σ(t) Is a normal number, Ψ σ(t) (t, ρ) and Φ σ(t) (t, ρ) are tuning parameters, η (t) satisfies the following dynamic event model
Figure BDA0003817275920000121
Wherein
Figure BDA0003817275920000122
Is an initial condition of eta (t), epsilon σ(t) Is a normal number, when σ (t) = k, k ∈ H, the parameter Φ is adjusted k (t, ρ) and Ψ k (t, ρ) is selected as follows
Figure BDA0003817275920000123
Figure BDA0003817275920000124
Wherein, 1-L k /T k (t-τ k,l )>0,L k /T k (t-τ k,l )>0,Φ k,l (ρ)>0,
Figure BDA0003817275920000125
Ψ k,l (ρ)>0,
Figure BDA0003817275920000126
k∈H,l=0,1,...,L k -1,r =0,1,2, … are adjustment parameters, and the state sample value is obtained by using a designed dynamic event triggered sampling mechanism
Figure BDA0003817275920000127
The controller design for the next step, in this example implementation, may be a specific parameter, ξ 1 =0.1,ξ 2 =0.5,ε 1 =0.004,ε 2 =0.002, 12 =7.1617, initial value η 0 =0.2。
In the process of obtaining the undisturbed switching dynamic event trigger control scheme of the aircraft engine switching control system based on the dynamic event trigger sampling mechanism according to the preset undisturbed switching mechanism at S104, the undisturbed switching mechanism can be specifically introduced to obtain the undisturbed switching dynamic event trigger controller design scheme of the aircraft engine switching control system: using the state sample value obtained in S103
Figure BDA0003817275920000128
Design event triggered switching controller
Figure BDA0003817275920000129
Wherein the content of the first and second substances,
Figure BDA00038172759200001210
a status value representing the last transmission is indicated,
Figure BDA00038172759200001211
is the controller gain to be designed when σ (t)) K ∈ H, the form is as follows
Figure BDA0003817275920000131
K k (t, ρ) and
Figure BDA00038172759200001314
to design variables such that
(i) When ω (t) =0, the system (1.1) is stable;
(ii) Designed event-triggered switching controller (4.1) satisfies constraints
Figure BDA0003817275920000132
Wherein, the first and the second end of the pipe are connected with each other,
Figure BDA0003817275920000133
is a normal number which is a positive number,
Figure BDA0003817275920000134
is a virtual control signal that is a virtual control signal,
Figure BDA0003817275920000135
is the virtual control gain, | | | · | | is the 2 norm of the vector;
(iii) System (1.1) at zero initial conditions, there is a constant γ > 0 for all
Figure BDA0003817275920000136
z (t) satisfies
Figure BDA0003817275920000137
Wherein the content of the first and second substances,
Figure BDA0003817275920000138
is an n-willebrand-lattice integrable space,
Figure BDA0003817275920000139
is a mathematical expectation of a stochastic process.
In the process of determining the parameters of the event-triggered undisturbed handover controller according to the random miscellaneous handover mechanism and the undisturbed handover dynamic event trigger control scheme in S105, the specific steps may be as follows: given a positive integer L k Positive number T k Selecting a positive number epsilon k ,γ k
Figure BDA00038172759200001310
k Function of matrix Y k,l (ρ),
Figure BDA00038172759200001311
Positive definite matrix function X k,l (ρ),
Figure BDA00038172759200001312
For ρ ∈ Φ, k, j ∈ H, L =0,1, …, L k 1, such that the following inequality of 5.1-5.5 holds
Figure BDA00038172759200001313
Figure BDA0003817275920000141
Figure BDA0003817275920000142
Figure BDA0003817275920000143
Figure BDA0003817275920000144
Wherein the content of the first and second substances,
Figure BDA0003817275920000145
Figure BDA0003817275920000146
Figure BDA0003817275920000147
Figure BDA0003817275920000148
Figure BDA0003817275920000149
Figure BDA0003817275920000151
Figure BDA0003817275920000152
Figure BDA0003817275920000153
Figure BDA0003817275920000154
in this example implementation, from the data given above, one can obtain
Figure BDA0003817275920000155
Figure BDA0003817275920000156
Figure BDA0003817275920000157
Figure BDA0003817275920000158
Y 10 (ρ)=10 -3 [[0.9 6.1]+ρ 1 [0.1698 0.6638]+ρ 2 [0.2621 0.1874]],
Y 11 (ρ)=10 -3 [[0.4 1.4]+ρ 1 [0.0387 0.1196]+ρ 2 [0.0071 -0.0523]],
Y 20 (ρ)=10 -3 [[1.3 7.1]+ρ 1 [0.1457 0.8985]+ρ 2 [-0.2822 -0.8437]],
Y 21 (ρ)=10 -3 [[0.5 1.7]+ρ 1 [0.0596 0.2142]+ρ 2 [-0.0967 -0.1668]],
Figure BDA0003817275920000159
Figure BDA00038172759200001510
Figure BDA00038172759200001511
Figure BDA00038172759200001512
Figure BDA00038172759200001513
Figure BDA00038172759200001514
Figure BDA00038172759200001515
Figure BDA00038172759200001516
Undisturbed handover indicator
Figure BDA0003817275920000161
And H The performance index gamma =7.1454, constitutes the control gain K k Design variable K of (t, ρ) k (t, ρ) and
Figure BDA0003817275920000162
is given by
K k (t,ρ)=[(1-L k /T k (t-τ k,l ))Y k,l (ρ)+L k /T k (t-τ k,l )Y k,l+1 (ρ)][(1-L k /T k (t-τ k,l ))X k,l (ρ)+L k /T k (t-τ k,l )X k,l+1 (ρ)] -1
Figure BDA0003817275920000163
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or additions or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are also included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the appended claims.
In addition, the invention also provides an aircraft engine speed regulation control device, as shown in fig. 2, the device comprises:
the establishing module 201 is used for establishing an aircraft engine switching control system model influenced by deterministic factors and random factors;
a processing module 202, configured to determine a random promiscuous handover mechanism affected by a deterministic factor and a random factor;
the processing module 202 is further configured to determine, by using a preset dynamic event model, a dynamic event trigger sampling mechanism based on the random hybrid switching mechanism;
the processing module 202 is further configured to obtain an undisturbed switching dynamic event trigger control scheme of the aircraft engine switching control system based on the dynamic event trigger sampling mechanism according to a preset undisturbed switching mechanism;
the processing module 202 is further configured to determine an event-triggered undisturbed handover controller parameter according to the random miscellaneous handover mechanism and the undisturbed handover dynamic event-triggered control scheme.
In addition, it should be noted that the apparatus provided in the present invention can implement any step in the method shown in fig. 1, and can implement the technical effect thereof, and for brevity, the details are not described herein again.
Furthermore, the present invention also provides a computer storage medium having stored thereon computer program instructions which, when executed by a processor, implement the method of any of fig. 1.
It should also be noted that the exemplary embodiments mentioned in this patent describe some methods or systems based on a series of steps or devices. However, the present invention is not limited to the order of the above-described steps, that is, the steps may be performed in the order mentioned in the embodiments, may be performed in an order different from the order in the embodiments, or may be performed simultaneously.
Aspects of the present disclosure are described above with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, enable the implementation of the functions/acts specified in the flowchart and/or block diagram block or blocks. Such a processor may be, but is not limited to, a general purpose processor, a special purpose processor, an application specific processor, or a field programmable logic circuit. It will also be understood that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based computer instructions which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
As described above, only the specific embodiments of the present invention are provided, and it can be clearly understood by those skilled in the art that, for convenience and brevity of description, the specific working processes of the system, the module and the unit described above may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again. It should be understood that the scope of the present invention is not limited thereto, and any person skilled in the art can easily conceive various equivalent modifications or substitutions within the technical scope of the present invention, and these modifications or substitutions should be covered within the scope of the present invention.

Claims (8)

1. An aircraft engine speed regulation control method, characterized in that the method comprises:
establishing an aeroengine switching control system model influenced by deterministic factors and random factors;
determining a random promiscuous handover mechanism influenced by deterministic factors and random factors;
determining a dynamic event trigger sampling mechanism based on the random hybrid switching mechanism by using a preset dynamic event model;
according to a preset undisturbed switching mechanism, based on the dynamic event trigger sampling mechanism, obtaining an undisturbed switching dynamic event trigger control scheme of the aircraft engine switching control system;
and determining the parameters of the event-triggered undisturbed switching controller according to the random hybrid switching mechanism and the undisturbed switching dynamic event trigger control scheme.
2. The method of claim 1, wherein the aircraft engine switching control system model affected by deterministic and stochastic factors is:
Figure FDA0003817275910000011
wherein, x (t), u σ(t) (t), z (t) and ω (t) represent the system state, control input, controlled output and external disturbances respectively,
Figure FDA0003817275910000012
is a member of a tight collection
Figure FDA0003817275910000013
Of the scheduling variable, p i Is the i-th element in p,
Figure FDA0003817275910000014
is the rate of change of rho in an s-dimensional vector space
Figure FDA0003817275910000015
Is that the material is bounded by the surface,
Figure FDA0003817275910000016
Figure FDA0003817275910000017
is that
Figure FDA0003817275910000018
The (c) th element of (a),ρ i is that
Figure FDA0003817275910000019
The lower bound of (a) is,
Figure FDA00038172759100000110
is that
Figure FDA00038172759100000111
Upper bound of (A), the scheduling variable ρ is measurable in real time, A σ(t) (ρ)、B σ(t) (ρ)、C σ(t) (ρ)、D σ(t) (ρ)、M σ(t) (p) and N σ(t) (p) is a continuous matrix function with respect to the scheduling variable p,
Figure FDA00038172759100000112
is a function of the switching of the network,
Figure FDA00038172759100000113
is a positive real number set, H is a positive integer set, the switching function σ (t) is used to assign the activation state of the subsystem, τ r R =0,1,2.. Is the switching time, when t e [ τ ∈ rr+1 ) When σ (t) = k, k ∈ H, that is, the kth subsystem is activated, and the state trajectory of the kth subsystem is the state trajectory of the system (1.1).
3. The method of claim 1, wherein determining a random promiscuous handover mechanism affected by deterministic and stochastic factors comprises:
given a time constant T k Let τ be r+1r ≥T k Definition of τ r,0 =τ r
Figure FDA00038172759100000213
Figure FDA0003817275910000021
Time interval
Figure FDA0003817275910000022
When t ∈ [ tau ] rr+1 ) When σ (t) = k, k ∈ H, based on deterministic switching rules, for τ r ≤t<τ r +T k The transition probability of the system from the mode k at the time t to the mode j at the time t + delta is
Figure FDA0003817275910000023
Wherein, delta is more than 0 and less than or equal to tau r +T k -t,k,j∈H,r=0,1,2,...;
When tau is r +T k ≤t<τ r+1 Based on the randomness switching rule, the transition probability of the system from the mode k at the time t to the mode j at the time t + delta is
Figure FDA0003817275910000024
Wherein the content of the first and second substances,
Figure FDA0003817275910000025
o (Δ) is a higher order infinitesimal quantity of Δ, π kj Is the transfer rate from modality k to modality j, and
Figure FDA0003817275910000026
4. the method according to claim 1, wherein the determining a dynamic event trigger sampling mechanism based on the stochastic hybrid handover mechanism by using a preset dynamic event model comprises:
definition of
Figure FDA0003817275910000027
In order to trigger the sampling sequence,
Figure FDA0003817275910000028
to trigger the sampling instant, wherein,
Figure FDA0003817275910000029
is a set of real numbers, the current trigger sampling instant
Figure FDA00038172759100000210
Less than the next trigger sample time
Figure FDA00038172759100000211
And the next trigger sample time
Figure FDA00038172759100000212
Is composed of
Figure FDA0003817275910000031
Wherein the content of the first and second substances,
Figure FDA0003817275910000032
representing the transpose of a vector or matrix,
Figure FDA0003817275910000033
is the state sampling error, ξ σ(t) Is a non-negative constant, epsilon σ(t) Is a normal number, Ψ σ(t) (t, ρ) and φ σ(t) (t, ρ) are tuning parameters, η (t) satisfies a predetermined dynamic event model
Figure FDA0003817275910000034
Wherein the content of the first and second substances,
Figure FDA0003817275910000035
is an initial condition of eta (t), epsilon σ(t) Is a normal number, when σ (t) = k, k ∈ H, the adjusting parameter Φ k (t, ρ) and Ψ k (t, ρ) is selected as follows
Figure FDA0003817275910000036
Figure FDA0003817275910000037
Wherein, 1-L k /T k (t-τ k,l )>0,L k /T k (t-τ k,l )>0,Φ k,l (ρ)>0,
Figure FDA0003817275910000038
Ψ k,l (ρ)>0,
Figure FDA0003817275910000039
k∈H,l=0,1,...,L k -1,r =0,1,2,. Is a tuning parameter;
calculating a value of the state sample based on the determined dynamic event trigger sampling mechanism
Figure FDA00038172759100000310
5. The method according to claim 4, wherein the obtaining of the undisturbed switching dynamic event triggered control scheme for the aircraft engine switching control system based on the dynamic event triggered sampling mechanism according to a preset undisturbed switching mechanism comprises:
based on triggering the sampling mechanism according to the determined dynamic event, calculating the obtained state sampling value
Figure FDA00038172759100000311
Determining that an event triggers switching of the controller to
Figure FDA00038172759100000312
Wherein the content of the first and second substances,
Figure FDA0003817275910000041
a status value representing the last transmission is indicated,
Figure FDA0003817275910000042
is the controller gain to be designed, when σ (t) = k, k ∈ H, the form is
Figure FDA0003817275910000043
Wherein, K k (t, ρ) and
Figure FDA0003817275910000044
to design variables such that
(i) When ω (t) =0, the system (1.1) is stable;
(ii) The designed event-triggered switching controller (4.1) satisfies the constraint
Figure FDA0003817275910000045
Wherein the content of the first and second substances,
Figure FDA0003817275910000046
is a normal number which is a positive number,
Figure FDA0003817275910000047
is a virtual control signal that is a virtual control signal,
Figure FDA0003817275910000048
is the virtual control gain, | | | · | | is the 2 norm of the vector;
(iii) The system (1.1) is under zero initial conditions,the constant gamma > 0 exists for all
Figure FDA0003817275910000049
z (t) satisfies
Figure FDA00038172759100000410
Wherein the content of the first and second substances,
Figure FDA00038172759100000411
is an n-willebrand-lattice integrable space,
Figure FDA00038172759100000412
is a mathematical expectation of a stochastic process.
6. The method of claim 1, wherein determining event-triggered undisturbed handover controller parameters based on the stochastic hybrid handover mechanism and the undisturbed handover dynamic event-triggered control scheme comprises:
presetting a positive integer L k Positive number T k Selecting a positive number epsilon k ,γ k
Figure FDA00038172759100000413
k Function of matrix Y k,l (ρ),
Figure FDA00038172759100000414
Positive definite matrix function X k,l (ρ),
Figure FDA00038172759100000415
Figure FDA00038172759100000416
For ρ ∈ Φ, k, j ∈ H, L =0,1 k 1, such that the inequality of 5.1-5.5 holds,
Figure FDA0003817275910000051
Figure FDA0003817275910000052
Figure FDA0003817275910000053
Figure FDA0003817275910000054
Figure FDA0003817275910000055
wherein, the first and the second end of the pipe are connected with each other,
Figure FDA0003817275910000056
Figure FDA0003817275910000057
Figure FDA0003817275910000058
Figure FDA0003817275910000061
Figure FDA0003817275910000062
Figure FDA0003817275910000063
Figure FDA0003817275910000064
Figure FDA0003817275910000065
Figure FDA0003817275910000066
form a control gain
Figure FDA0003817275910000067
Design variable K of k (t, ρ) and
Figure FDA0003817275910000068
is composed of
K k (t,ρ)=[(1-L k /T k (t-τ k,l ))Y k,l (ρ)+L k /T k (t-τ k,l )Y k,l+1 (ρ)][(1-L k /T k (t-τ k,l ))X k,l (ρ)+L k /T k (t-τ k,l )X k,l+1 (ρ)] -1
Figure FDA0003817275910000069
7. An aircraft engine speed regulation control apparatus, the apparatus comprising:
the establishing module is used for establishing an aircraft engine switching control system model influenced by deterministic factors and random factors;
the processing module is used for determining a random hybrid switching mechanism influenced by deterministic factors and random factors;
the processing module is further configured to determine, by using a preset dynamic event model, a dynamic event trigger sampling mechanism based on the random hybrid switching mechanism;
the processing module is further used for triggering a sampling mechanism based on the dynamic event according to a preset undisturbed switching mechanism to obtain an undisturbed switching dynamic event triggering control scheme of the aircraft engine switching control system;
the processing module is further configured to determine an event-triggered undisturbed handover controller parameter according to the random miscellaneous handover mechanism and the undisturbed handover dynamic event-triggered control scheme.
8. A computer storage medium having computer program instructions stored thereon which, when executed by a processor, implement the method of any one of claims 1-6.
CN202211031370.2A 2022-08-26 2022-08-26 Aircraft engine rotating speed adjusting control method, control device and storage medium Pending CN115167546A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116224804A (en) * 2023-04-11 2023-06-06 大连海事大学 Aeroengine event trigger smooth switching control system and method based on switching model
CN117215175A (en) * 2023-09-12 2023-12-12 大连海事大学 Aeroengine event triggering comprehensive anti-interference method based on switching model

Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101550850A (en) * 2008-04-04 2009-10-07 通用汽车环球科技运作公司 Valve control system with lift mode transitioning based engine synchronization timing and sensor based lift mode control
CN104238363A (en) * 2014-09-23 2014-12-24 江南大学 Transient state performance control method of multi-mode hybrid system
US20150350015A1 (en) * 2014-05-30 2015-12-03 Cisco Technology, Inc. Automating monitoring using configuration event triggers in a network environment
CN106500792A (en) * 2016-11-30 2017-03-15 北京航科发动机控制***科技有限公司 A kind of with redundancy backup and can switching undisturbed fuel-metering device
CN107613532A (en) * 2017-08-31 2018-01-19 重庆邮电大学 Fuzzy vertical switching method based on residence time prediction in vehicle heterogeneous network
CN108361114A (en) * 2018-01-29 2018-08-03 中国第汽车股份有限公司 A kind of engine Multimode Control System
CN109410361A (en) * 2018-11-02 2019-03-01 华东理工大学 A kind of event triggering state estimating system based on Markov jump
CN110213086A (en) * 2019-05-14 2019-09-06 曲阜师范大学 Based on network control system l2-l∞Switching system method and system, controller and the control method of control
CN110297497A (en) * 2019-06-11 2019-10-01 沈阳航空航天大学 The control method of multi-agent system consistency based on mixing trigger mechanism under network attack
CN111367180A (en) * 2020-04-02 2020-07-03 天津大学 Switching linear system H _ definition control method based on dynamic event trigger
CN113406931A (en) * 2021-05-24 2021-09-17 杭州电子科技大学 Nonlinear random networking industrial system control method based on dynamic event triggering
CN114756029A (en) * 2022-04-19 2022-07-15 哈尔滨工程大学 Unmanned ship model-free control method based on dynamic event triggering

Patent Citations (12)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101550850A (en) * 2008-04-04 2009-10-07 通用汽车环球科技运作公司 Valve control system with lift mode transitioning based engine synchronization timing and sensor based lift mode control
US20150350015A1 (en) * 2014-05-30 2015-12-03 Cisco Technology, Inc. Automating monitoring using configuration event triggers in a network environment
CN104238363A (en) * 2014-09-23 2014-12-24 江南大学 Transient state performance control method of multi-mode hybrid system
CN106500792A (en) * 2016-11-30 2017-03-15 北京航科发动机控制***科技有限公司 A kind of with redundancy backup and can switching undisturbed fuel-metering device
CN107613532A (en) * 2017-08-31 2018-01-19 重庆邮电大学 Fuzzy vertical switching method based on residence time prediction in vehicle heterogeneous network
CN108361114A (en) * 2018-01-29 2018-08-03 中国第汽车股份有限公司 A kind of engine Multimode Control System
CN109410361A (en) * 2018-11-02 2019-03-01 华东理工大学 A kind of event triggering state estimating system based on Markov jump
CN110213086A (en) * 2019-05-14 2019-09-06 曲阜师范大学 Based on network control system l2-l∞Switching system method and system, controller and the control method of control
CN110297497A (en) * 2019-06-11 2019-10-01 沈阳航空航天大学 The control method of multi-agent system consistency based on mixing trigger mechanism under network attack
CN111367180A (en) * 2020-04-02 2020-07-03 天津大学 Switching linear system H _ definition control method based on dynamic event trigger
CN113406931A (en) * 2021-05-24 2021-09-17 杭州电子科技大学 Nonlinear random networking industrial system control method based on dynamic event triggering
CN114756029A (en) * 2022-04-19 2022-07-15 哈尔滨工程大学 Unmanned ship model-free control method based on dynamic event triggering

Non-Patent Citations (5)

* Cited by examiner, † Cited by third party
Title
LI, PF等: "Dynamic Event-Triggered Control for Networked Switched Linear Systems", 《36TH CHINESE CONTROL CONFERENCE》, 31 December 2017 (2017-12-31) *
ZONG, GD等: "Robust finite-time H∞ control of switched systems and its applications: a dynamic event-triggered method", 《INTERNATIONAL JOURNAL OF GENERAL SYSTEMS》, vol. 51, no. 1, 2 January 2022 (2022-01-02) *
李娇等: "基于混杂切换方法的离散切换***状态反馈H_∞控制", 《大连民族大学学报》, vol. 23, no. 1, 31 December 2021 (2021-12-31) *
赵颖: "切换***的镇定控制设计:无扰切换控制方法", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 04, 15 April 2022 (2022-04-15) *
黄春晓: "基于多Lyapunov函数的切换***的无扰切换控制设计", 《中国优秀硕士学位论文全文数据库 信息科技辑》, no. 02, 15 February 2021 (2021-02-15) *

Cited By (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116224804A (en) * 2023-04-11 2023-06-06 大连海事大学 Aeroengine event trigger smooth switching control system and method based on switching model
CN117215175A (en) * 2023-09-12 2023-12-12 大连海事大学 Aeroengine event triggering comprehensive anti-interference method based on switching model
CN117215175B (en) * 2023-09-12 2024-03-22 大连海事大学 Aeroengine event triggering comprehensive anti-interference method based on switching model

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