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作 者:Xubin Ping Jianchen Hu Tingyu Lin Baocang Ding Peng Wang Zhiwu Li
机构地区:[1]the Department of Automation,School of Electro-Mech-anical Engineering,Xidian University,Xi’an 710071,China [2]the Ministry of Education Key Laboratory for Intelligent Networks and Network Security,School of Automation Science and Engineering,Faculty of Electronic and Information Engineering,Xi’an Jiaotong University,Xi’an 710049,China [3]the State Key Laboratory of Intelligent Manufacturing System Technology,Beijing Institute of Electronic System Engineering,Beijing 100854,China [4]the College of Automation,Chongqing University of Posts and Telecommunications,Chongqing 400065,China [5]the Information and Navigation College,Air Force Engineering University,Xi’an 710077,China [6]IEEE [7]the School of Electro-Mechanical Engineering,Xidian University,Xi’an 710071 [8]the Institute of System Engineering,Macao University of Science and Technology,Macao SAR,China
出 处:《IEEE/CAA Journal of Automatica Sinica》2022年第10期1717-1751,共35页自动化学报(英文版)
基 金:supported in part by the National Natural Science Foundation of China(62103319,62073053,61773396)。
摘 要:For constrained linear parameter varying(LPV)systems,this survey comprehensively reviews the literatures on output feedback robust model predictive control(OFRMPC)over the past two decades from the aspects on motivations,main contributions,and the related techniques.According to the types of state observer systems and scheduling parameters of LPV systems,different kinds of OFRMPC approaches are summarized and compared.The extensions of OFRMPC for LPV systems to other related uncertain systems are also investigated.The methods of dealing with system uncertainties and constraints in different kinds of OFRMPC optimizations are given.Key issues on OFRMPC optimizations for LPV systems are discussed.Furthermore,the future research directions on OFRMPC for LPV systems are suggested.
关 键 词:Linear parameter varying(LPV)systems model predictive control(MPC) output feedback robust control
分 类 号:TP13[自动化与计算机技术—控制理论与控制工程]
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