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	Direct relaxation of hard-constraint in Model Predictive Control
	Zhao, Kejun ; Lu, Xin ; Zheng, Wenzhou ; Huang, Chunqing ; Huang CQ(黄春庆)
	2012
关键词	Fuzzy systems Model predictive control
英文摘要	Conference Name:2012 9th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2012. Conference Address: Chongqing, China. Time:May 29, 2012 - May 31, 2012.; As for MPC controllers, hard-constraint such as constraints on input magnitude or/and rate are generally regarded as an inviolable rule that has to be satisfied strictly before the cost function is optimized at each sampling instant. Such strategy is to result in control conservatism of MPC, as well as infeasibility problem. In this paper, constraint-softening technique is proposed, in which hard-constraint are relaxed appropriately and hence the region of hard-constraint is enlarged directly in optimizer of MPC. As a result, transient performance of the resulting system is significantly improved. Meanwhile, the feasibility problem is solved via this approach. A simulation result demonstrates the effectiveness of the proposed constraint-softening technique. 漏 2012 IEEE.
语种	英语
出处	http://dx.doi.org/10.1109/FSKD.2012.6234019
出版者	IEEE Computer Society
内容类型	其他
源URL	[http://dspace.xmu.edu.cn/handle/2288/86803]
专题	信息技术－会议论文
推荐引用方式 GB/T 7714	Zhao, Kejun,Lu, Xin,Zheng, Wenzhou,et al. Direct relaxation of hard-constraint in Model Predictive Control. 2012-01-01.

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