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In this paper, a robust fault detection observer is designed for a class of nonlinear systems described by T-S (Takagi-Sugeno) fuzzy model with sensor faults and unknown bounded disturbances. The method uses the technique of descriptor systems by considering sensor faults as an auxiliary state variables. The basic idea of our study is to formulate the robust fault detection observer design as a H-...
This paper deals with sufficient conditions of asymptotic stability for non linear discrete-time 2D systems represented by a Takagi-Sugeno fuzzy model of Roesser type with state feedback control. This work is based on common and multiple Lyapunov functions. The results are presented in LMI's form.
This paper deals with the sensorless field oriented control based on Takagi Sugeno (TS) observer. In the proposed algorithm, we present a nonlinear induction machine by Takagi-Sugeno (T-S) fuzzy model which is valid in large speed domain instead of linearized model around equilibrium point. In addition we design sliding mode observer known for its robustness against parametric uncertainties and external...
A vehicle dynamics control system has been developed in this study for improving vehicle yaw rate dynamics under critical motions. The system consists of a fuzzy robust Hinfin estimated state feedback controller. The variation of the road adhesion conditions is considered and represented by additive parametric uncertainties in the vehicle Takagi-Sugeno fuzzy model. The vehicle lateral velocity is...
This paper deals with the class of continuous-time uncertain stochastic fuzzy systems with norm bounded uncertainties. A model-based fuzzy stabilization design utilizing the concept of the so-called parallel distributed compensation (PDC) is employed to stochastically stabilize the class of systems under consideration. LMI-based sufficient conditions are developed to synthesize the state feedback...
In this paper, the robust fuzzy control for four wheels steering (4WS) vehicle dynamics is studied via a Takagi-Sugeno (T-S) uncertain fuzzy model when the road adhesion conditions change and the sideslip angle is unavailable for measurement. After giving the nonlinear model of the vehicle, its representation by a T-S uncertain fuzzy model is discussed. Next, based on the uncertain fuzzy model of...
This paper investigates both analysis and synthesis techniques for robust pole placement in linear matrix inequality (LMI) regions involving observer-based fuzzy control. The class of systems considered here is the continuous Takagi-Sugeno (T-S) fuzzy model with parametric structured uncertainties and unavailable state variables. Sufficient global stability conditions are established which make it...
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