DocumentCode :
1586113
Title :
Resolution of optimizing control problems of fuzzy steady-state systems
Author :
Sidaoui, Hassan ; Isotani, Sadão
Author_Institution :
Centro de Desenvolvimento de Tecnologia e Recursos Humanos, Sao Jose dos Campas, Brazil
Volume :
2
fYear :
34881
Firstpage :
821
Abstract :
In this paper, we use Bellman and Zadeh´s fuzzy model of decision to derive an optimization procedure applied to steady-state optimizing control of systems which do not admit precise mathematical description. The proposed procedure is able to overcome the major difficulty represented by the “nonregular” form of the functions to be optimised providing efficient tools for the optimization of large-scale fuzzy systems
Keywords :
fuzzy control; fuzzy systems; large-scale systems; optimal control; Bellman and Zadeh´s fuzzy model; complex systems; fuzzy decision model; fuzzy steady-state systems; large-scale fuzzy systems; optimization; optimizing control problems; Control system synthesis; Control systems; Electrical equipment industry; Electronic mail; Fuzzy control; Fuzzy logic; Fuzzy systems; Mathematical model; Optimization methods; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Industrial Electronics, 1995. ISIE '95., Proceedings of the IEEE International Symposium on
Conference_Location :
Athens
Print_ISBN :
0-7803-7369-3
Type :
conf
DOI :
10.1109/ISIE.1995.497292
Filename :
497292
Link To Document :
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