DocumentCode
2957814
Title
Design of self-organized intelligent control systems based on quantum fuzzy inference: intelligent system of systems engineering approach
Author
Ulyanov, Sergey V. ; Litvintseva, Ludmila V. ; Panfilov, Sergey A.
Author_Institution
N.V. R & D Office, YAMAHA Motor Eur., Crema, Italy
Volume
4
fYear
2005
fDate
10-12 Oct. 2005
Firstpage
3835
Abstract
This report presents a generalized design strategy of intelligent robust control systems based on quantum/soft computing technologies that enhance robustness of fuzzy controllers by supplying a self-organizing capability. It is demonstrated that fuzzy controllers prepared to maintain control object in the prescribed conditions are often fail to control when such a conditions are dramatically changed. We propose the solution of such kind of problems by introducing a generalization of strategies in fuzzy inference from a set of pre-defined fuzzy controllers by new quantum fuzzy inference based systems (prototype of intelligent system of systems engineering). We stress our attention on the robustness features of intelligent control systems.
Keywords
control system synthesis; fuzzy control; fuzzy reasoning; intelligent control; robust control; self-adjusting systems; fuzzy controller; generalized design strategy; intelligent robust control system; quantum computing; quantum fuzzy inference; self-organized intelligent control system; soft computing; systems engineering; Control systems; Design engineering; Fuzzy control; Fuzzy sets; Fuzzy systems; Intelligent control; Intelligent systems; Maintenance engineering; Robust control; Systems engineering and theory; Quantum Computing; Quantum fuzzy inference; Robust Intelligent Control; Self-Organization; System of Systems Engineering;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN
0-7803-9298-1
Type
conf
DOI
10.1109/ICSMC.2005.1571744
Filename
1571744
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