Self-learning fuzzy PID controller based on neural networks

Proceedings of the American Control Conference

Volumn 3, Issue , 1998, Pages 1860-1861

  Li, Qiqiang ^a   Cheng, Zhengqun ^a   Qian, Jixin ^a  

^a STATE KEY LABORATORY OF INDUSTRIAL CONTROL TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CONVENTIONAL PID; FUZZY INFERENCE SYSTEMS; FUZZY PID CONTROLLER; HYBRID LEARNING; INFERENCE RULES; NEURO-FUZZY NETWORK; PID CONTROLLERS; SELF-LEARNING CAPABILITY;

ELECTRIC CONTROL EQUIPMENT; NEURAL NETWORKS; PROPORTIONAL CONTROL SYSTEMS;

CONTROLLERS;

EID: 0012556656     PISSN: 07431619     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ACC.1998.707340     Document Type: Conference Paper

References (5)

1. C.-L. Chen, and F.-Y. Chang, "Design and analysis of neural/fuzzy variable structural PID control systems," IEE Proc. Control Theory Appl., vol. 143, no. 2, March 1996, pp. 200-208.
2. C.-L. Chen, and C.-T. Hsieh, "User-friendly design method for fuzzy logic controller," IEE Proc. Control Theory Appl., vol. 143, no. 4, July 1996, pp. 358-366.
3. J.-S. R. Jang, "ANFIS: Adaptive-network-based fuzzy inference system," IEEE Trans. System Man and Cybernetics, vol. 23, no. 3, May/June 1993, pp. 665-685.
4. J.-S. R. Jang, and C.-T. Sun, "Functional equivalence between radial basis function networks and fuzzy inference systems," IEEE Trans. Neural Networks, vol. 4, no. 1, Jan. 1993, pp. 156-158.
5. J. G. Ziegler and N. B. Nichols, "Optimum settings for automatic controllers," Trans. ASME, vol. 64, 1942, pp. 759-768.