文章基本信息

标题：Numerical Evaluation of a Robust Self-Triggered MPC Algorithm
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作者：Florian D. Brunner ; Florian D. Brunner ; W.P.M.H. Heemels 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2016
卷号：49
期号：22
页码：151-156
DOI：10.1016/j.ifacol.2016.10.388
语种：English
出版社：Elsevier
摘要：Abstract: We present numerical examples demonstrating the efficacy of a recently proposed self-triggered model predictive control scheme for disturbed linear discrete-time systems with hard constraints on the input and state. In order to reduce the amount of communication between the controller and the actuator, the control input is not re-computed at each point in time but only at certain sampling instances. These instances are determined in a self-triggered fashion in the sense that at every sampling instant the next sampling instant is computed as a function of the current system state. A compact set in the state space, whose size is a design parameter in the control scheme, is stabilized.
关键词：Keywordspredictive controlself-triggered controlrobustness