基于模型预测控制的离散网络控制系统镇定研究

Stabilization for Discrete-time Networked Control Systems Based on Model Predictive Control

本文研究一类带有状态丢包的离散网络控制系统的镇定问题,其中丢包过程建模为具有两种模态的Markov链。利用模型预测控制策略得到使系统均方意义上镇定的充要条件,此条件可应用LMI方法求解。最后,通过数值仿真算例验证所提控制策略的有效性。

In this paper,the stabilization for a class of discrete-time networked control systems with packet loss was studied,where the packet loss was modeled as a Markov process with two modes.A sufficient and necessary condition to stabilize the system was obtained by using model predictive control strategy,which could be solved by linear matrix inequality(LMI)approach.Finally,numerical examples were given to illustrate the effectiveness of the proposed strategy.