变采样周期网络控制系统的模型预测控制  

Model predictive control of networked control systems during variable-period sampling

作　　者：于水情[1,2] 李俊民[1] 

机构地区：[1]西安电子科技大学理学院,陕西西安710071 [2]西安财经学院统计学院,陕西西安710100

出　　处：《中南大学学报（自然科学版）》2012年第12期4750-4756,共7页Journal of Central South University:Science and Technology

基　　金：国家自然科学基金资助项目(60974139);中央高校基本科研业务费专项资金资助项目(72103676)

摘　　要：对一类具有随机时延和输入约束的网络控制系统,利用变采样周期的方法,将连续的被控对象离散化,从而将网络控制系统建模为部分转移概率未知的Markov跳变系统。基于预测控制的滚动优化原理,提出一种模型预测控制策略,通过线性矩阵不等式的方法,给出保证整个闭环系统随机渐近稳定充分条件。仿真算例说明所提方法的有效性。For a class of networked control systems with random delay and input constraints, applying variable-period sampling method, the networked control systems was modeled as a Markov jump systems with partly unknown transition probabilities. Based on the receding horizon optimization principle, a model predictive control scheme was proposed. By using the linear matrix inequality method, sufficient conditions were presented which guaranteed that the closed-loop system was asymptotically stable. Finally, an example was presented to illustrate the effectiveness of the proposed method.

关 键 词：网络控制系统 模型预测控制 滚动优化 变采样周期 部分转移概率未知 

分 类 号：TP13[自动化与计算机技术—控制理论与控制工程]