Browsing by Author "Shing, CC"

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Discrete fuzzy covariance control for specified decay rate
(2005-03-15)
Chang, WJ
;
Shing, CC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
This paper addresses the covariance control problem with decay rate for a class of nonlinear discrete stochastic systems using the Takagi- Sugeno ( T- S) fuzzy models. A methodology is developed to find the discrete fuzzy controllers for achieving individual state variance constraints of discrete T- S fuzzy stochastic models. The approach developed in this paper is based on the concept of parallel distributed compensation ( PDC) and covariance control. For each rule of the discrete T- S fuzzy model, it shows how to parameterize the static linear state feedback control gains to achieve a common covariance matrix and decay rate for each subsystem. Finally, a numerical example is provided to verify the effects of the proposed design method.
LMI-based fuzzy controller design with minimum upper bound input energy and state variance constraints for discrete fuzzy stochastic systems
(2004)
Chang, WJ
;
Shing, CC
;
電控工程研究所
;
Institute of Electrical and Control Engineering
In this paper, a fuzzy controller design problem is considered for the discrete-time Takagi-Sugeno (T-S) fuzzy stochastic systems. The main purpose of this paper is to provide a systematic fuzzy controller design procedure for the discrete-time nonlinear stochastic systems, which are modeled by the T-S type fuzzy systems. A methodology is developed to find the discrete-time fuzzy controllers for minimizing upper bound control input energy and achieving state variance constraints for discrete-time T-S fuzzy stochastic systems. It is shown that the present approach can be used to solve the linear feedback control gains for each rule of the T-S fuzzy controllers using the Linear Matrix Inequality (LMI) technique. Finally, we apply the proposed controller design method to control a truck-trailer system to show the utility of the present approach.