Title :
Fuzzy controller tuning for a multivariable system using a neuro-fuzzy system
Author_Institution :
CINVESTAV-IPN, Mexico City, Mexico
Abstract :
In this paper, fuzzy controller tuning is achieved using a neuro-fuzzy system. The author proposes a regression term to be introduced in the traditional neuro-fuzzy learning algorithm. Results concerning the real and the simulated system are also presented
Keywords :
control system synthesis; fuzzy control; fuzzy neural nets; learning (artificial intelligence); multivariable control systems; neurocontrollers; statistical analysis; tuning; control design; control simulation; fuzzy controller tuning; multivariable system; neuro-fuzzy learning algorithm; neuro-fuzzy system; regression term; Centralized control; Control systems; Error correction; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Inference algorithms; MIMO; Temperature control;
Conference_Titel :
Industrial Electronics, 2000. ISIE 2000. Proceedings of the 2000 IEEE International Symposium on
Conference_Location :
Cholula, Puebla
Print_ISBN :
0-7803-6606-9
DOI :
10.1109/ISIE.2000.930379
