DocumentCode
2158182
Title
Methods of control and design of complex systems on productive-predicative models by probabilistic and fuzzy indexes
Author
Grif, Mikhail ; Doubrovskikh, Alexey ; Tsoi, Yevgeny
Author_Institution
Post Graduate Sch., Novosibirsk State Tech. Univ., Russia
fYear
2002
fDate
2002
Firstpage
141
Lastpage
145
Abstract
This report observes a sequential optimization method of discrete functioning processes (FP) in man-machine systems (MMS) on the basis of probabilistic and fuzzy indexes of effectivity, quality and reliability (EQR) of MMS functioning. This method is applied in tasks of object control. Properties of the monotonous recourse of these indexes, the common scheme of the optimization method in the bounds of the production-predicate model (knowledge base), including required clauses of alternative optimality and possibility are observed. The paper finds power estimation of the nondominates alternatives area (optimally by Pareto) and costs of the sequential analysis method, which is used with the selection of an optimal selection strategy.
Keywords
man-machine systems; optimisation; probability; complex systems design; discrete functioning processes; fuzzy index; knowledge base; man-machine systems; object control; power estimation; probabilistic index; production-predicate model; productive predicative models; reliability; sequential analysis method; sequential optimization method; Control systems; Cost function; Dynamic programming; Fuzzy control; Fuzzy systems; Man machine systems; Optimization methods; Power system reliability; Probability; Space technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Science and Technology, 2002. KORUS-2002. Proceedings. The 6th Russian-Korean International Symposium on
Print_ISBN
0-7803-7427-4
Type
conf
DOI
10.1109/KORUS.2002.1027982
Filename
1027982
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