【摘要】 通过分析附加有界扰动不确定系统的开环最大最小模型预测控制(OL-MMMPC)的可行性和稳定性,指出一般情况下OL-MMMPC问题初始可行但未必一直可行,进而闭环系统也未必稳定,并给出了该问题只要初始可行就有闭环系统稳定的一个充分条件及OL-MMMPC问题的一种改进算法,该算法保证只要问题初始可行闭环系统就稳定.更多还原

【Abstract】 We considered the feasibility and stability of open-loop min-max model prediction control(OL-MMMPC) for systems with additive bounded uncertainties.It is concluded that the OL-MMMPC may not be feasible and stable if it is only initially feasible.A sufficient condition of the OL-MMMPC that ensures its feasibility and stability is given.Then we proposed an improved OL-MMMPC algorithm which guarantees robust stability of the closed-loop system once the problem is initially feasible.更多还原