Title :
Analysis and design of fuzzy control systems with random delays using invariant cones
Author :
Sinha, A.S.C. ; Pidaparti, R. ; Rizkalla, M. ; El-Sharkawy, M.A.
Author_Institution :
Purdue Univ., Indianapolis, IN, USA
fDate :
6/24/1905 12:00:00 AM
Abstract :
In this paper, a class of fuzzy stochastic control systems with random delays is examined. The fuzzy rule base used consists of a collection of r fuzzy IF-THEN rules defined as a function of the conditional variable. The method of theory of invariant cones is used to design a class of local fuzzy control law. A verifiable sufficient condition for stochastic stability of the fuzzy stochastic delay differential equation is given
Keywords :
control system analysis; control system synthesis; delays; differential equations; fuzzy control; random processes; stability criteria; stochastic systems; fuzzy IF-THEN rules; fuzzy control system analysis; fuzzy control system design; fuzzy rule base; fuzzy stochastic control systems; fuzzy stochastic delay differential equation; invariant cones; random delays; stochastic stability condition; Control systems; Delay systems; Differential equations; Fuzzy control; Fuzzy logic; Fuzzy systems; Stability; Stochastic processes; Stochastic systems; Sufficient conditions;
Conference_Titel :
Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
0-7803-7280-8
DOI :
10.1109/FUZZ.2002.1005050
