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中文摘要：
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．
英文摘要：
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.
同期刊论文项目
同项目期刊论文
Further results on adaptive state-feedback stabilization for stochastic high-order nonlinear systems
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