【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。更多还原

【Abstract】 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.更多还原