作者: Ji-wei Wen , Fei Liu
DOI: 10.1109/FSKD.2009.87
关键词:
摘要: In this paper, a robust fuzzy model predictive control (MPC) scheme is presented for class of discrete-time nonlinear systems which can be described by uncertain T-S models subject to actuator saturation. The system uncertainties under consideration are assumed time-varying and norm-bounded. A sufficient condition minimizing upper bound the cost function asymptotical stability closed-loop established based on Lyapunov function. proposed controller obtained using semi-definite programming (SDP) easily solved means linear matrix inequalities (LMIs). Finally, numerical example given verify feasibility efficiency method.