Robust distributed model predictive control based consensus of general linear multi-agent systems - 文章详情页

作者：

Zhan, Jingyuan (Zhan, Jingyuan.) | Chen, Yangzhou (Chen, Yangzhou.) (学者：陈阳舟) | Aleksandrov, Alexander (Aleksandrov, Alexander.) | Li, Xiang (Li, Xiang.)

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摘要：

This　paper　investigates　the　robust　distributed　model　predictive　control　(DMPC)　based　consensus　problem　of　general　linear　discrete-time　multi-agent　systems　subject　to　external　disturbances.　We　first　propose　a　robust　DMPC　based　consensus　algorithm,　mainly　relying　on　the　DMPC　based　consensus　of　a　nominal　system　whose　state　deviation　from　the　actual　state　is　bounded　by　an　invariant　set.　We　then　prove　the　feasibility　and　robust　consensus　of　the　proposed　algorithm.　Finally,　we　present　a　numerical　example　to　verify　the　theoretical　results.　©　2019　IEEE

关键词：

Discrete time control systems Multi agent systems Model predictive control

作者机构：

[ 1 ] [Zhan, Jingyuan]Beijing Key Laboratory of Transportation Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
[ 2 ] [Chen, Yangzhou]Beijing Key Laboratory of Transportation Engineering, College of Metropolitan Transportation, Beijing University of Technology, Beijing; 100124, China
[ 3 ] [Aleksandrov, Alexander]Saint Petersburg State University, Saint Petersburg, Russia
[ 4 ] [Li, Xiang]Adaptive Networks and Control Lab, Research Center of Smart Networks and Systems, School of Information Science and Engineering, Fudan University, Shanghai; 200433, China

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