Reduced-Order Set-Valued Observer Design for High Order Uncertain Linear System with Disturbance

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• 英文论文题名：Reduced-Order Set-Valued Observer Design for High Order Uncertain Linear System with Disturbance
• 论文作者：Ruinan Zhao ; Yanxia Shen ; Dinghui Wu ; Zhipu Zhao
• 英文论文作者：Ruinan Zhao ; Yanxia Shen ; Dinghui Wu ; Zhipu Zhao ; The Engineering Research Center of IoT Technology and Application of the Ministry of Education ; Jiangnan University
• 年：2017
• 作者机构：The Engineering Research Center of IoT Technology and Application of the Ministry of Education, Jiangnan University;
• 英文论文关键词：High Order Uncertain Linear System ; Reduced Order Observer ; Set-Valued Observer ; Set-Induced Lyapunov Function ; Uniformly Boundness
• 会议召开时间：2017-07-26
• 会议录名称：第36届中国控制会议论文集（A）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（A）
• 语种：英文
• 分类号：O231
• 学会代码：KZLL
• 会议名称：第36届中国控制会议
• 会议地点：中国辽宁大连
• 主办单位：中国自动化学会控制理论专业委员会
• 学会名称：中国自动化学会控制理论专业委员会
• 页数：6
• 文件大小：409k
• 原文格式：D
• 会议级别：全国

摘要

For a class of high order uncertain linear system affected by parameter variations and disturbance, a reduced order observer is considered. A set-valued observer is designed for the main part of reduced-order observer, which estimates a convex cone containing the real states and fault states. The theoretical foundation of design of set-valued observer is uniformly boundness theory. By constructing a set-induced Lyapunov function, it can be proven that the estimation error converges to a compact set. Introducing the feedback control, the simulation figure shows that the estimation error converges to zero.
For a class of high order uncertain linear system affected by parameter variations and disturbance, a reduced order observer is considered. A set-valued observer is designed for the main part of reduced-order observer, which estimates a convex cone containing the real states and fault states. The theoretical foundation of design of set-valued observer is uniformly boundness theory. By constructing a set-induced Lyapunov function, it can be proven that the estimation error converges to a compact set. Introducing the feedback control, the simulation figure shows that the estimation error converges to zero.

引文

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