Title :
A neuro-fuzzy approach to hybrid intelligent control
Author :
Lazzerini, Beatrice ; Reyneri, Leonardo M. ; Chiaberge, Marcello
Author_Institution :
Dipt. di Ingegneria Inf., Pisa Univ., Italy
Abstract :
This paper presents a neuro-fuzzy approach to the development of high-performance real-time intelligent and adaptive controllers for nonlinear plants. Several paradigms derived from cognitive sciences are considered and analyzed in this work, such as neural networks, fuzzy inference systems, genetic algorithms, etc. The different control strategies are also integrated with finite-state automata, and the theory of fuzzy-state automata is derived from that. The novelty of the proposed approach resides in the tight integration of the control strategies and in the capability of allowing a hybrid design. Finally, three practical applications of the proposed hybrid approach are analyzed
Keywords :
fuzzy control; fuzzy neural nets; genetic algorithms; inference mechanisms; intelligent control; neurocontrollers; nonlinear control systems; cognitive sciences; control strategies; finite-state automata; fuzzy inference systems; fuzzy-state automata; genetic algorithms; hybrid intelligent control; neural networks; neuro-fuzzy approach; nonlinear plants; real-time intelligent controllers; Adaptive control; Algorithm design and analysis; Automata; Automatic control; Fuzzy neural networks; Fuzzy systems; Genetic algorithms; Intelligent control; Neural networks; Programmable control;
Journal_Title :
Industry Applications, IEEE Transactions on
