文章基本信息

标题：A New Approach to Robust MPC Design for LPV Systems in Input-Output Form
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作者：Hossam S. Abbas ; Jurre Hanema ; Roland Tóth 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：26
页码：112-117
DOI：10.1016/j.ifacol.2018.11.159
语种：English
出版社：Elsevier
摘要：AbstractIn this paper, a robustmodel predictive control(MPC) technique is introduced to control MIMOlinear parameter-varying(LPV) systems subject to input-output constraints. The LPV system is represented in input-output form, which is a common form obtained through LPV system identification. The method guarantees asymptotic stability of the closed-loop system and provides integral action for a given piecewise constant reference trajectory based on past measurements of the inputs and outputs. The technique offers computationally more efficient and less conservative design approach compared to previous works. A simulation example is given to demonstrate the effectiveness of the proposed technique.
关键词：KeywordsModel Predictive ControlRobust StabilityPerformanceLMIConvex OptimizationLinear Parameter-Varying (LPV) Systems