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作 者:LI ShaoYuan ZHENG Yi WEI YongSong
出 处:《Science Foundation in China》2015年第3期42-61,共20页中国科学基金(英文版)
基 金:supported by the National Natural Science Foundation of China(Grant Nos.61233004, 61221003,61374109,61304078 & 61473184);the National Basic Research Program of China (973Program)(Grant Nos.2013CB035500 863 &2015AA043102);the Higher Education Research Fund for the Doctoral Program of China(Grant Nos.20120073130006)
摘 要:In this paper,we provide a review of recent results in the design of distributed model predictive control(DMPC).DMPC not only inherits the advantage of model predictive control but also has characteristics of distributed control framework.We review the work on DMPC from two aspects:unconstrained DMPC and the design methods of stabilized DMPC with constraints.Finally,some proposed algorithms are illustrated through two industrial processes.In this paper,we provide a review of recent results in the design of distributed model predictive control(DMPC).DMPC not only inherits the advantage of model predictive control but also has characteristics of distributed control framework.We review the work on DMPC from two aspects:unconstrained DMPC and the design methods of stabilized DMPC with constraints.Finally,some proposed algorithms are illustrated through two industrial processes.
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