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Intelligent controller with neural network and reinforcement learning 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G06F-015/18
출원번호 US-0859328 (1992-03-27)
발명자 / 주소
  • Khan Emdadur R. (San Jose CA)
출원인 / 주소
  • National Semiconductor Corporation (Santa Clara CA 02)
인용정보 피인용 횟수 : 36  인용 특허 : 0

초록

A plant controller using reinforcement learning for controlling a plant includes action and critic networks with enhanced learning for generating a plant control signal. Learning is enhanced within the action network by using a neural network configured to operate according to unsupervised learning

대표청구항

A plant controller using reinforcement learning for controlling a plant by generating a control signal therefor, the plant controller comprising: an action network for coupling to a plant and receiving therefrom a plant state signal, receiving a reinforcement signal and in accordance therewith gener

이 특허를 인용한 특허 (36)

  1. Werbos Paul J., 3-brain architecture for an intelligent decision and control system.
  2. Werbos, Paul J., 3-brain architecture for an intelligent decision and control system.
  3. William R. Hutchison, Adaptive agent using neural network.
  4. Hutchison William, Adaptive autonomous agent with verbal learning.
  5. Hutchison William R., Adaptive autonomous agent with verbal learning.
  6. Doya, Kenji; Kawato, Mitsuo, Agent learning machine.
  7. Pannese, Patrick D., Applications of neural networks.
  8. Hittle,Douglas C.; Anderson,Charles; Young,Peter M.; Delnero,Christopher; Anderson,Michael, Combined proportional plus integral (PI) and neural network (nN) controller.
  9. Francone Frank D. ; Nordin Peter,SEX ; Banzhaf Wolfgang,DEX, Computer implemented machine learning and control system.
  10. Young, Peter M.; Anderson, Charles; Hittle, Douglas C.; Kretchmar, Matthew, Control system and technique employing reinforcement learning having stability and learning phases.
  11. Repici, Dominic John, Feedback-tolerant method and device producing weight-adjustment factors for pre-synaptic neurons in artificial neural networks.
  12. Wang Bo-Hyeun,KRX ; Cho Kwang-Bo,KRX, Fuzzy rule generation apparatus for neuro circuit network system and method thereof.
  13. Matsuoka Teruhiko,JPX ; Aramaki Takashi,JPX, Fuzzy-neural network system and a learning method therein.
  14. Khan Emdadur Rahman (San Jose CA) Alapat Varkey Paul (Sunnyvale CA 4), Intelligent servomechanism controller.
  15. Sun Chuen-Tsai (Pao-Shan Shiang TWX) Jang Jyh-Shing (Framingham MA) Fu Chi-Yung (San Francisco CA), Intelligent system for automatic feature detection and selection or identification.
  16. Graupe Daniel, Large memory storage and retrieval (LAMSTAR) network.
  17. Boston Joseph F. ; Boys Ian,GBX, Method and apparatus for simulating and optimizing a plant model.
  18. Kaske Alexander,DEX, Method and device for the control of an autonomously exploring robot.
  19. Otte Ralf,DEX ; Rappenecker Gerd,DEX ; Goser Karl,DEX, Method for analysis and display of transient process events using Kohonen map.
  20. Otte Ralf,DEX, Method for controlling process events using neural network.
  21. Yesildirek A. ; Lewis F. L., Method for feedback linearization of neural networks and neural network incorporating same.
  22. Hans, Alexander; Schneegaβ, Daniel; Schäfer, Anton Maximilian; Sterzing, Volkmar; Udluft, Steffen, Method for the computer-assisted exploration of states of a technical system.
  23. Ray M. Jantz ; Matthew A. Markus, Methods and systems for dynamic selection of error recovery procedures in a managed device.
  24. Sekiai, Takaaki; Shimizu, Satoru; Yamada, Akihiro, Operation control method, operation control device, and operation control system.
  25. Sekiai, Takaaki; Shimizu, Satoru; Kaminaga, Eiichi; Yamada, Akihiro; Hayashi, Yoshiharu; Kusumi, Naohiro; Fukai, Masayuki, Plant control apparatus and method having functions of determining appropriate learning constraint conditions.
  26. Ansari,Arif M; Shiek Ansari,Yusuf Sulaiman M, Processing device with intuitive learning capability.
  27. van der Meulen, Peter, Semiconductor manufacturing systems.
  28. van der Meulen, Peter; Kiley, Christopher C; Pannese, Patrick D.; Ritter, Raymond S.; Schaefer, Thomas A., Semiconductor wafer handling and transport.
  29. van der Meulen, Peter; Kiley, Christopher C; Pannese, Patrick D.; Ritter, Raymond S.; Schaefer, Thomas A., Semiconductor wafer handling and transport.
  30. van der Meulen, Peter; Kiley, Christopher C.; Pannese, Patrick D.; Ritter, Raymond S.; Schaefer, Thomas A., Semiconductor wafer handling transport.
  31. Werbos Paul J., Stochastic encoder/decoder/predictor.
  32. Yerazunis, William S.; Wang, Bingnan; Duan, Chunjie; Barnwell, John; Burns, Dan J., System and method for automatically optimizing wireless power.
  33. Yamada Kunio,JPX, System controller.
  34. Sethi Ishwar K. ; Yoo Jae H.,KRX, System for converting neural network to rule-based expert system using multiple-valued logic representation of neurons in feedforward network.
  35. Smith Jay L., Trainable, state-sampled, network controller.
  36. Blank Seymour, Wideband external pulse cardiac monitor.
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