Title :
Stability analysis and systematic design of fuzzy controllers with simplified linear control rules
Author :
Liao, Jun ; Joo Er, Meng
Author_Institution :
Sch. of Electr. & Electron. Eng., Nanyang Technol. Inst., Singapore
Abstract :
In this paper, stability analysis and systematic design procedures of fuzzy logic control systems based on the simplified Takagi-Sugeno (TS) fuzzy model are proposed. First, we represent the simplified TS model in the form of local state-space equations. Second, we show that the general TS fuzzy systems with simplified nonlinear rules are universal approximators. A systematic design procedure for fuzzy controllers is proposed through the parallel distributed compensation (PDC) scheme. Finally, necessary and sufficient conditions that guarantee stability of the fuzzy system are obtained
Keywords :
control system analysis; control system synthesis; fuzzy control; linear systems; stability criteria; state-space methods; PDC; fuzzy controllers; guaranteed stability; linear control rules; local state-space equations; necessary and sufficient conditions; parallel distributed compensation scheme; simplified TS fuzzy model; simplified Takagi-Sugeno fuzzy model; simplified nonlinear rules; stability analysis; stability conditions; systematic design; systematic design procedure; universal approximators; Control system synthesis; Control systems; Design methodology; Erbium; Fuzzy control; Fuzzy logic; Fuzzy systems; Nonlinear equations; Stability analysis; Sufficient conditions;
Conference_Titel :
Decision and Control, 1999. Proceedings of the 38th IEEE Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5250-5
DOI :
10.1109/CDC.1999.833313
