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In this paper, a robust fuzzy model predictive control (MPC) scheme is presented for a class of discrete-time nonlinear systems which can be described by uncertain T-S fuzzy models subject to actuator saturation. The system uncertainties under consideration are assumed to be time-varying and norm-bounded. A sufficient condition of minimizing upper bound of the cost function and asymptotical stability...
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...
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