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基于LMI的多模型鲁棒预测控制 被引量:8

LMI based multi-model robust predictive control
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摘要 用线性矩阵不等式 (LMI)方法研究多模型鲁棒预测控制 ,提出了状态反馈的综合方法 ,并分析了闭环系统的可行性 ,同时证明闭环系统渐近稳定 .在此基础上 ,研究了带终端零状态的有限优化时域预测控制和无穷优化时域预测控制的性能 ,证明了两者在性能上的一致性 . This paper studies multi-model robust predictive control using LMI, address synthesis method of state feedback, analyses the feasibility of close loop system and proves that the closed loop system is asymptotically stable. Also the differences between the finite optimization horizon predictive control with terminal zero state constraints and infinite optimization horizon predictive control are studied and the consistency of the two system's performance is proved.
出处 《控制理论与应用》 EI CAS CSCD 北大核心 2002年第6期829-832,共4页 Control Theory & Applications
基金 国家自然科学基金 (60 0 740 0 4)资助项目
关键词 LMI 多模型鲁棒预测控制 线性矩阵不等式 线性微分包系统 滚动时域 计算机控制算法 predictive control linear matrix inequality linear differential inclusions multi-model receding horizon
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参考文献7

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