Fuzzy Based Model Predictive Control for Uncertain Nonlinear System
In this paper, a model predictive control (MPC) scheme is investigated for uncertain nonlinear system with time delay and input constraint. First, the Takagi-Sugeno (T-S) fuzzy model is used to approximate the dynamics of nonlinear processes and the parallel distributed compensation (PDC) controllers which are parameter dependent and mirror the structure of the T-S plant model are proposed. Then a novel feedback PDC predictive controller obtained from the linear matrix inequality (LMI) solutions which can guarantee the stability of the closed-loop overall fuzzy system is put forward. Finally, a numerical example is provided to demonstrate the effectiveness and feasibility of the proposed method.
L. Xu and F. Liu, "Fuzzy Based Model Predictive Control for Uncertain Nonlinear System", Advanced Materials Research, Vols. 383-390, pp. 2404-2410, 2012