AU2001234491A1 - Method and apparatus for training a state machine - Google Patents

Method and apparatus for training a state machine

Info

Publication number
AU2001234491A1
AU2001234491A1 AU2001234491A AU3449101A AU2001234491A1 AU 2001234491 A1 AU2001234491 A1 AU 2001234491A1 AU 2001234491 A AU2001234491 A AU 2001234491A AU 3449101 A AU3449101 A AU 3449101A AU 2001234491 A1 AU2001234491 A1 AU 2001234491A1
Authority
AU
Australia
Prior art keywords
training
state machine
machine
state
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
AU2001234491A
Inventor
Ralph E. Rose
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of AU2001234491A1 publication Critical patent/AU2001234491A1/en
Abandoned legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00Systems involving the use of models or simulators of said systems
    • G05B17/02Systems involving the use of models or simulators of said systems electric
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Automation & Control Theory (AREA)
  • Health & Medical Sciences (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Medical Informatics (AREA)
  • Software Systems (AREA)
  • Feedback Control In General (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
AU2001234491A 2000-02-18 2001-01-18 Method and apparatus for training a state machine Abandoned AU2001234491A1 (en)

Applications Claiming Priority (5)

Application Number Priority Date Filing Date Title
US50713100A 2000-02-18 2000-02-18
US09507131 2000-02-18
US69300300A 2000-10-20 2000-10-20
US09693003 2000-10-20
PCT/US2001/001822 WO2001061533A2 (en) 2000-02-18 2001-01-18 Method and apparatus for training a state machine

Publications (1)

Publication Number Publication Date
AU2001234491A1 true AU2001234491A1 (en) 2001-08-27

Family

ID=27055727

Family Applications (1)

Application Number Title Priority Date Filing Date
AU2001234491A Abandoned AU2001234491A1 (en) 2000-02-18 2001-01-18 Method and apparatus for training a state machine

Country Status (3)

Country Link
AU (1) AU2001234491A1 (en)
CA (1) CA2331477A1 (en)
WO (1) WO2001061533A2 (en)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US9886285B2 (en) * 2015-03-31 2018-02-06 Western Digital Technologies, Inc. Communication interface initialization
CN108681252B (en) * 2018-05-15 2021-01-01 浙江工业大学 Multi-mechanical-arm system finite time parameter identification and position synchronization control method
CN109465829B (en) * 2018-12-12 2021-05-04 南京工程学院 Industrial robot geometric parameter identification method based on transformation matrix error model

Family Cites Families (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP3102918B2 (en) * 1990-11-22 2000-10-23 株式会社リコー Neural network learning method and signal processing device using this learning method
US5349541A (en) * 1992-01-23 1994-09-20 Electric Power Research Institute, Inc. Method and apparatus utilizing neural networks to predict a specified signal value within a multi-element system
US5517432A (en) * 1994-01-31 1996-05-14 Sony Corporation Of Japan Finite state machine transition analyzer
US5903886A (en) * 1996-04-30 1999-05-11 Smartlynx, Inc. Hierarchical adaptive state machine for emulating and augmenting software
US5974434A (en) * 1997-10-07 1999-10-26 Ralph E. Rose Method and apparatus for automatically tuning the parameters of a feedback control system

Also Published As

Publication number Publication date
WO2001061533A2 (en) 2001-08-23
WO2001061533A3 (en) 2002-06-20
CA2331477A1 (en) 2001-08-18

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