标题:Chance-constrained H control for a class of time-varying systems with stochastic nonlinearities: The finite-horizon case
作者:Tian, Engang ;Wang, Zidong ;Zou, Lei ;Yue, Dong
作者机构:[Tian, Engang ] School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai; 200093, China;[Wan 更多
通讯作者:Wang, Zidong
来源:Automatica
出版年:2019
卷:107
页码:296-305
DOI:10.1016/j.automatica.2019.05.039
摘要:In this paper, a new finite-horizon H control problem is considered for a class of time-varying systems with stochastic nonlinearities, measurements degradation and chance constraints. The purpose of the addressed problem is to design the time-varying controller such that the closed-loop system satisfies the prespecified H disturbance attenuation requirement and certain chance constraints on the controlled output vector zk (i.e., the probability of the controlled output zk belonging to a given set is larger than a prescribed value). A modified maximum-volume-inscribed-ellipsoid (MVIE) method is employed to convert the chance constraint into some tractable inequalities, which could be conveniently handled by the recursive linear matrix inequality (RLMI) approach. Then, by using stochastic control analysis method, sufficient conditions are derived for the existence of the desired multi-objective controller and, furthermore, the gains of the desired controllers are characterized by means of RLMIs. Finally, two illustrative examples and a practical system are proposed to highlight the effectiveness and applicability of the presented controller design technology.
© 2019 Elsevier Ltd
收录类别:EI
资源类型:期刊论文
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