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Linearization of T-S fuzzy model is difficult to be achieved by using existing linearization methods because fuzzy rules and membership functions are included in T-S fuzzy models. In this paper, a new linearization method is proposed for discrete time T-S fuzzy system based on the properties of T-S fuzzy theorem. The local linear models of a T-S fuzzy model are transformed to a controllable canonical...
This paper proposes an output tracking control via virtual reference model for a class of discrete-time systems with time-varying delay and disturbances. In this proposed scheme, we combine a virtual reference model (VRM) and an observer-based fuzzy control strategy to develop output tracking controller. The Takagi-Sugeno fuzzy observer is used to estimate immeasurable state, while the controller...
This paper presents a design method of robust fuzzy PID controller for discrete-time uncertain nonlinear systems. The Takagi-Sugeno fuzzy model with parameter uncertainties is employed to describe discrete-time uncertain nonlinear system with bounded uncertainties. A robust pole placement called pole coloring is used to control each local model. Controller parameters are determined through cost function...
A robust receding horizon dual-mode control method is proposed for a class of uncertain discrete-time nonlinear systems using Takagi-Sugeno fuzzy models subject to input and state constraints. The uncertainties are considered to exist in system parameters and assumed to belong to a polytopic set. Using the property of the invariant ellipsoid, a receding horizon dual-mode control that satisfies the...
In this paper, the discrete sliding mode control (DSMC) design with fast output sampling (FOS) technique for discrete-time T-S fuzzy system is presented. To guarantee the stability of the overall system, the control law of DSMC with the system state is adopted. Instead of applying the state observer to estimate the system state, we apply the FOS technique and identify the relation between the system...
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