An LMI Optimization Approach for Enlarging the Terminal Region of MPC for Nonlinear Systems
一种基于LMI的非线性模型预测控制终端域优化方法

The paper presents a method for solving the terminal region of model predictive control (MPC) for nonlinear systems with constraints.Based on linear matrix inequality (LMI) optimization and norm-bounded linear differential inclusion (LDI) of nonlinear system,we develop an approach to offline choose the terminal cost and fictitious local stabilizing control law so as to gain the terminal region.A numerical example is given to illustrate the effectiveness of the proposed results.