动态输出反馈鲁棒模型预测控制

研究了具有多包不确定性和有界噪声的系统的动态输出反馈鲁棒模型预测控制的综合方法.系统为准线性参数时变的,即系统时变参数在当前时刻精确已知,但在将来时刻未知.采用二次有界概念刻画扩展闭环系统的稳定性.本文主要创新在于提出了一种辅助优化方法,从而为下个采样时刻的主优化问题提供可靠的真实状态的界.通过连续搅拌釜式反应器控制系统验证了该方法的有效性.

Dynamic Output Feedback Robust Model Predictive Control

This paper addresses the synthesis approach of dynamic output feedback robust model predictive control for systems with both polytopic uncertainty and bounded disturbance. The system is quasi-linear parameter varing, i.e., the time-varing parameters of the system are exactly known at the current time but unknown in the future. The notion of quadratic boundedness is utilized to characterize the stability properties of the augmented closed-loop system. The primary contribution of this paper is to propose a method for the auxiliary optimization to provide reliable bounds of true state for the main optimization problem at the next sampling time. A continuous stirred tank reactor control system is given to illustrate the effectiveness of the approach.