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Closed loop neural network automatic tuner 원문보기

IPC분류정보
국가/구분 United States(US) Patent 등록
국제특허분류(IPC7판)
  • G05B-013/02
출원번호 US-0502016 (1995-07-13)
발명자 / 주소
  • Mathur Anoop K. (4341 Rustic Pl. Shoreview MN 55126) Samad Tariq (5212 Xerxes Ave. South Minneapolis MN 55410)
인용정보 피인용 횟수 : 31  인용 특허 : 5

초록

A closed loop neural network based autotuner develops optimized proportional, integral and/or derivative parameters based on the outputs of other elements in the loop. Adjustments are initiated by making a step change in the setpoint which may be done by a user or automatically. A Smith predictor ma

대표청구항

A neural network automatic tuner for tuning a PID controller which in turn controls a system in a closed loop control system configuration, comprising: a neural network autotuner, wherein said neural network autotuner receives a y output, representing an existing value of output of a system under co

이 특허에 인용된 특허 (5)

  1. 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.
  2. Nomura Masahide (Hitachi JPX) Saito Tadayoshi (Hitachi JPX) Matsumoto Hiroshi (Ibaraka JPX) Shimoda Makoto (Katsuta JPX) Kondoh Masakazu (Hitachi JPX) Miyagaki Hisanori (Ohta JPX) Sugano Akira (Katsu, Process control method and system for performing control of a controlled system by use of a neural network.
  3. Grayson S. Keith (Mobile AL) Rudd John B. (Mobile AL), Process control using neural network.
  4. Saito Tadayoshi (Hitachiota JPX) Takahashi Susumu (Higashiibaraki JPX) Tachibana Kouji (Katsuta JPX) Kawakami Junzo (Mito JPX) Yokokawa Nobuyuki (Mito JPX), Self-tuning controller apparatus and process control system.
  5. Lu Yong-Zai (Sacramento CA) Cheng George S. (Sacramento CA) Manoff Michael (Sacramento CA), Universal process control using artificial neural networks.

이 특허를 인용한 특허 (31)

  1. Wojsznis, Wilhelm K.; Blevins, Terrence L., Adaptive feedback/feedforward PID controller.
  2. Wojsznis,Wilhelm K.; Blevins,Terrence L.; Nixon,Mark J.; Wojsznis,Peter, Adaptive multivariable process controller using model switching and attribute interpolation.
  3. Denison, David R.; Lewis, Marty James; Wojsznis, Peter; Mehta, Ashish, Analytical server integrated in a process control network.
  4. Hittle,Douglas C.; Anderson,Charles; Young,Peter M.; Delnero,Christopher; Anderson,Michael, Combined proportional plus integral (PI) and neural network (nN) controller.
  5. Thiele,Dirk; Blevins,Terry; Ottenbacher,Ron; Wojsznis,Wilhelm, Configuration and viewing display for an integrated model predictive control and optimizer function block.
  6. Wojsznis,Wilhelm; Blevins,Terrence; Nixon,Mark; Wojsznis,Peter, Constraint and limit feasibility handling in a process control system optimizer.
  7. Wojsznis, Peter; Blevins, Terrence Lynn; Wojsznis, Wilhelm K., Continuously scheduled model parameter based adaptive controller.
  8. Wojsznis,Wilhelm; Blevins,Terry; Nixon,Mark, Integrated model predictive control and optimization within a process control system.
  9. Palanisamy,Lingathurai; Venkataraman,Sreedharan; Joseph,Sindhu, Intelligent retrieval and classification of information from a product manual.
  10. Schlang, Martin; Malisch, Frank-Oliver; Broese, Einar; Gramckow, Otto, Learning process for a neural network.
  11. El-Rifai, Khalid; El-Rifai, Osamah, Method and apparatus for hybrid resetting states proportional-integral-derivative and lag controllers.
  12. Mehta, Ashish; Wojsznis, Peter; Lewis, Marty J.; Jundt, Larry O.; Pettus, Nathan W., Method and apparatus for intelligent control and monitoring in a process control system.
  13. Kaji, Hirotaka, Method and apparatus for optimizing overall characteristics of device, using heuristic method.
  14. Kerner Norbert,DEX, Method and circuit arrangement for detecting optimal controller parameters for speed control.
  15. Shavit Gideon, Neural network including input normalization for use in a closed loop control system.
  16. Shetty, Ravindra K.; Kumar, Ashwin, Neuro/fuzzy hybrid approach to clustering data.
  17. Abbisso, Salvatore; Caponetto, Riccardo; Diamante, Olga; Porto, Domenico; Cola, Eusebio Di; Fortuna, Luigi, Non-integer order dynamic systems.
  18. Thiele, Dirk; Wojsznis, Wilhelm K., On-line adaptive model predictive control in a process control system.
  19. Thiele,Dirk; Wojsznis,Wilhelm K., On-line adaptive model predictive control in a process control system.
  20. Byrne, Brian P.; Pandit, Sushain, Optimally configuring an information landscape.
  21. Byrne, Brian P.; Pandit, Sushain, Optimally configuring an information landscape.
  22. Caldwell, John M.; Blevins, Terrence L.; Wojsznis, Peter; Wojsznis, Wilhelm K., Process model identification in a process control system.
  23. Caldwell,John; Blevins,Terrence L.; Wojsznis,Peter; Wojsznis,Wilhelm K., Process model identification in a process control system.
  24. Blevins, Terrence L.; Wojsznis, Wilhelm K.; McMillan, Gregory K.; Wojsznis, Peter, Self-diagnostic process control loop for a process plant.
  25. Blevins, Terrence L.; Wojsznis, Wilhelm K.; McMillan, Gregory K.; Wojsznis, Peter, Self-diagnostic process control loop for a process plant.
  26. Wojsznis, Wilhelm K.; Blevins, Terrence L., State based adaptive feedback feedforward PID controller.
  27. Wojsznis,Wilhelm K.; Blevins,Terrence L., State based adaptive feedback feedforward PID controller.
  28. Joseph,Sindhu; Venkataraman,Sreedharan, Supervised self organizing maps with fuzzy error correction.
  29. Calise, Anthony J.; Kim, Byoung-Soo; Corban, J. Eric, System and method for adaptive control of uncertain nonlinear processes.
  30. Calise,Anthony J.; Kim,Byoung Soo, System and method for adaptive control of uncertain nonlinear processes.
  31. Corban,J. Eric, System and method for adaptive control of uncertain nonlinear processes.
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