Title :
Parameterized linear matrix inequality techniques in fuzzy control system design
Author :
Tuan, H.D. ; Apkarian, P. ; Narikiyo, T. ; Yamamoto, Y.
Author_Institution :
Dept. of Control & Inf., Toyota Technol. Inst., Nagoya, Japan
fDate :
4/1/2001 12:00:00 AM
Abstract :
This paper proposes different parameterized linear matrix inequality (PLMI) characterizations for fuzzy control systems. These PLMI characterizations are, in turn, relaxed into pure LMI programs, which provides tractable and effective techniques for the design of suboptimal fuzzy control systems. The advantages of the proposed methods over earlier ones are then discussed and illustrated through numerical examples and simulations
Keywords :
computational complexity; control system synthesis; fuzzy control; matrix algebra; optimal control; LMI characterizations; PLMI characterizations; parameterized linear matrix inequality techniques; pure LMI programs; suboptimal fuzzy control system design; tractable effective techniques; Control system synthesis; Control systems; Fuzzy control; Fuzzy systems; Helium; Instruction sets; Linear matrix inequalities; Linear systems; Nonlinear systems; Numerical simulation;
Journal_Title :
Fuzzy Systems, IEEE Transactions on
