标题:Adaptive Output Feedback Control Design for a Class of Stochastic Nonlinear Systems with General Unknown Output Gain
作者:Xiuming, Zhao ;Jian, Zhang ;Xiaowu, Mu ;Yungang, Liu
作者机构:[Xiuming, Zhao ;Jian, Zhang ;Xiaowu, Mu ] Zhengzhou University, School of Mathematics and Statistics, Zhengzhou; 450001, China;[Yungang, Liu ] Shandon 更多
会议名称:37th Chinese Control Conference, CCC 2018
会议日期:25 July 2018 through 27 July 2018
来源:Chinese Control Conference, CCC
出版年:2018
卷:2018-July
页码:1504-1509
DOI:10.23919/ChiCC.2018.8483917
关键词:Globally asymptotically stable in probability; Output feedback; Uncertain stochastic nonlinear systems; Unknown output gain
摘要:In this paper, we consider the global adaptive output feedback control design problem for a class of stochastic nonlinear systems with general unknown output gain. Different from the existing literature, the uncertainty on the output gain of the considered system is more general, that is to say, only the sign of the gain is known, which directly leads to the ineffectiveness of the existing methods. In order to achieve the control objective, besides designing a full-order observer, inspired by the existing adaptive design technique, a new unknown parameter is introduced to depict the system uncertainties and facilitate the adaptive control design. Then, by adopting the adding a power integrator technique and the homogeneous control method, we successfully design an adaptive output feedback controller to render the uncertain stochastic nonlinear systems globally asymptotically stable in probability, which means that all the closed-loop system states are bounded almost surely, and especially the original system states converge to the origin with probability one. © 2018 Technical Committee on Control Theory, Chinese Association of Automation.
收录类别:EI;SCOPUS
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85056076457&doi=10.23919%2fChiCC.2018.8483917&partnerID=40&md5=bb39d616c176079044875335e9851c6e
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