基于概率Tubes的Markov跳变系统的随机预测控制  

Stochastic Model Predictive Control for Markov Jump Systems Based on Probabilistic Tubes

作　　者：葛甜甜[1] 刘晓华[1] 

机构地区：[1]鲁东大学数学与统计科学学院,山东烟台264039

出　　处：《鲁东大学学报（自然科学版）》2013年第3期200-206,共7页Journal of Ludong University:Natural Science Edition

基　　金：国家自然科学基金(61174097)

摘　　要：针对一类带有随机干扰的Markov跳变系统,考虑状态概率约束,提出一种随机预测控制方法.采用Tube技术,将概率约束转化为递推可行的概率Tubes,基于概率Tubes设计的控制器,保证闭环系统随机稳定.仿真实例验证了本文方法的有效性.An stochastic model predictive control sttategy disturbances,considering probabilistic constraints of state, is proposed. By adopting the technology of Tube, probabilistic constraints are converted into recursively feasible probabilistic tubes. The controller based on recursively feasible probabilistic tubes can ensure closed loop system stochastic stability. The simulation results demonstrate the effectiveness of the method.

关 键 词：MARKOV跳变系统 概率约束 概率Tubes 随机预测控制 随机干扰 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]