Browsing by Author "Chiang, WL"

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Application and robustness design of fuzzy controller for resonant and chaotic systems with external disturbance
(2005-06-01)
Hsiao, FH
;
Chiang, WL
;
Chen, CW
;
Xu, SD
;
Wu, SL
A robustness design of fuzzy control via model-based approach is proposed in this paper to overcome the effect of approximation error between nonlinear system and Takagi-Sugcno (T-S) fuzzy model. T-S fuzz model is used to model the resonant and chaotic systems and the parallel distributed compensation (PDC) is employed to determine structures of fuzzy controllers. Linear matrix inequality (LMI) based design problems are utilized to find common definite matrices P and feedback gains K satisfying stability conditions derived in terms of Lyapunov direct method. Finally, the effectiveness and the feasibility of the proposed controller design method is demonstrated through numerical simulations on the chaotic and resonant systems
T-S fuzzy controllers for Nonlinear interconnected systems with multiple time delays
(2005-09-01)
Hsiao, FH
;
Chen, CW
;
Liang, YW
;
Xu, SD
;
Chiang, WL
This paper investigates the effectiveness of a passive tuned mass damper (TMD) and fuzzy controller in reducing the structural responses subject to the external force. In general, TMD is good for linear systems. We proposed here an approach of Takagi-Sugeno (T-S) fuzzy controller to deal with the nonlinear system. To overcome the effect of modeling error between nonlinear multiple time-delay systems and T-S fuzzy models, a robustness design of fuzzy control via model-based approach is proposed in this paper. A stability criterion in terms of Lyapunov's direct method is derived to guarantee the stability of nonlinear multiple time-delay interconnected systems. Based on the decentralized control scheme and this criterion, a set of model-based fuzzy controllers is then synthesized via the technique of parallel distributed compensation (PDC) to stabilize the nonlinear multiple time-delay interconnected system and the HI control performance is achieved at the same time. Finally, the proposed methodology is illustrated by an example of a nonlinear TMD system.