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Method for feedback linearization of neural networks and neural network incorporating same

국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판) G06F-015/18   
미국특허분류(USC) 706/010 ; 706/015
출원번호 US-0950581 (1997-10-15)
발명자 / 주소
출원인 / 주소
대리인 / 주소
    Arnold, White & Durkee
인용정보 피인용 횟수 : 22  인용 특허 : 16
초록
▼

A method for linearization of feedback in neural networks, and a neural network incorporating the feedback linearization method are presented. Control action is used to achieve tracking performance for a state-feedback linearizable, but unknown nonlinear control system. The control signal comprises a feedback linearization portion provided by neural networks, plus a robustifying portion that keep the control magnitude bounded. Proofs are provided to show that all of the signals in the closed-loop system are semi-globally uniformly ultimately bounded. Thi...

대표
청구항
▼

[ What is claimed is:] [1.] A method of adaptively controlling a plant having at least one measurable state and at least first and second unknown functions of said measurable state, comprising:sensing said at least one measurable state;comparing said sensed state with a desired state in a first feedback loop to produce an error signal;calculating, as a function of said sensed state, a first unknown function estimate using a first multi-layer neural network process in a second feedback loop, said first multi-layer neural network process having multiple la...

이 특허에 인용된 특허 (16)

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  5. Kimoto Takashi (Kawasaki JPX) Masumoto Daiki (Kawasaki JPX) Yamakawa Hiroshi (Kawasaki JPX) Nagata Shigemi (Kawasaki JPX). Feedback control device. USP1996035498943.
  6. Khan Emdadur R. (San Jose CA). Intelligent controller with neural network and reinforcement learning. USP1995095448681.
  7. Khan Emdadur R. (San Jose CA). Intelligent servomechanism controller. USP1995115471381.
  8. Khan Emdadur Rahman (San Jose CA) Alapat Varkey Paul (Sunnyvale CA 4). Intelligent servomechanism controller. USP1997105677609.
  9. Hansen Peter D. (Wellesley Hills MA) Badavas Paul C. (Southboro MA). Method and apparatus for controlling multivariable nonlinear processes. USP1996105566065.
  10. Gramckow Otto (Erlangen DEX) Martinetz Thomas (Mnchen DEX) Poppe Thomas (Mnchen DEX). Method and control device for controlling a process including the use of a neural network having variable network parame. USP1996045513097.
  11. Frerichs Donald K. (Shaker Heights OH) Kaya Azmi (Akron OH) Keyes ; IV Marion A. (Chagrin Falls OH). Method and procedure for neural control of dynamic processes. USP1992125175678.
  12. Konar Ahmet F. (Circle Pines MN) Samad Tariq (Minneapolis MN) Harp Steven A. (Coon Rapids MN). Neruo-pid controller. USP1995035396415.
  13. Skeirik Richard D. (Newark DE). Neural network process measurement and control. USP1994015282261.
  14. Bozich Daniel J. (San Diego CA) MacKay H. Bruce (San Diego CA) Eggert Jay A. (San Diego CA) Muenchau Ernest E. (Vista CA). Neurocontrolled adaptive process control system. USP1994115367612.
  15. Keeler James D. (Austin TX) Hartman Eric J. (Austin TX) Liano Kadir (Austin TX) Ferguson Ralph B. (Austin TX). Residual activation neural network. USP1996095559690.
  16. Lu Yong-Zai (Sacramento CA) Cheng George S. (Sacramento CA) Manoff Michael (Sacramento CA). Universal process control using artificial neural networks. USP1992105159660.

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  3. Hovakimyan, Naira; Calise, Anthony J; Yang, Bong-Jun. Adaptive output feedback apparatuses and methods capable of controlling a non-minimum phase system. USP2010127853338.
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  18. Ibarz Gabardos, Borja; Sinyavskiy, Oleg. Persistent predictor apparatus and methods for task switching. USP20181110131052.
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  20. Panfilov,Sergey A.; Litvintseva,Ludmila; Ulyanov,Sergey V.; Ulyanov,Viktor S.; Takahashi,Kazuki. Soft computing optimizer of intelligent control system structures. USP2007057219087.
  21. Sergei V. Ulyanov IT. System for intelligent control based on soft computing. USP2002076415272.
  22. Ulyanov, Sergei V.. System for intelligent control based on soft computing. USP2004046721718.

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