文献类型：期刊文献

英文题名：Network-based predictive control strategy for spatially distributed system based with quantization

作者：Wang, M.L.[1]; Xue, B.Q.[2]; Yan, H.C.[1]; Shi, H.B.[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, 130, Meilong Road, Shanghai, 200237, China; [2] Qingdao University, Qingdao, China

年份：2018

卷号：2018-January

起止页码：1075

外文期刊名：2017 Asian Control Conference, ASCC 2017

收录：EI(收录号：20182205254782)

语种：英文

外文关键词：Spatial distribution - Distributed parameter control systems - Predictive control systems - Model predictive control - Robust control

摘要：This paper presents a network-based model predictive controller design strategy for spatially distributed systems (SDSs), where control input quantization over a digital network is considered. To simplify the control design, the spatiotemporal control problem is transformed to a temporal one. Basing on the temporal model, a robust model predictive controller is designed to provides an efficient solution to the quantized control issues for spatially distributed system, where the quantization problem for control design is solved by a robust control problem with sector bounds uncertainties. The efficiency of the proposed method was shown through a network control problem based on a typical SDS. ? 2017 IEEE.