Research on Quantized Feedback Control for Networked Control System with Markov Characteristics

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• 英文论文题名：Research on Quantized Feedback Control for Networked Control System with Markov Characteristics
• 论文作者：Dawei Sun ; Xingcheng Wang ; Longda Wang ; Shuai Zhang ; Weixuan Wang
• 英文论文作者：Dawei Sun ; Xingcheng Wang ; Longda Wang ; Shuai Zhang ; Weixuan Wang ; School of Information Science and Technology ; Dalian Maritime University ; First Research Department ; AVIC Leihua Electronic Technology Institute
• 年：2017
• 作者机构：School of Information Science and Technology,Dalian Maritime University;First Research Department,AVIC Leihua Electronic Technology Institute;
• 英文论文关键词：Networked control systems ; quantization ; Lyapunov-Krasovskii functional ; linear matrix inequalities ; Markov chain
• 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（B）
• 英文会议录名称：Proceedings of the 36th Chinese Control Conference（B）
• 语种：英文
• 分类号：TP273
• 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：7
• 文件大小：275k
• 原文格式：D
• 会议级别：全国

摘要

The quantized feedback controller is investigated for networked control systems with network delay, quantization and data packet loss. Firstly, the packet dropout, network delay and quantization are considered simultaneously, the random variation of packet dropout is illustrated by Markov chain. Then the network system is described by Markov jump system, the influence of the quantization error can be transformed into the uncertainty under the sector boundary and the network delay is not constant but time varying that has upper and lower bound. Based on this model, a Lyapunov-Krasovskii functional is constructed and the sufficient conditions for system stochastic stability are obtained by linear matrix inequalities and this method has a performance level. Finally, simulation results are given to illustrate the effectiveness of the proposed method.
The quantized feedback controller is investigated for networked control systems with network delay, quantization and data packet loss. Firstly, the packet dropout, network delay and quantization are considered simultaneously, the random variation of packet dropout is illustrated by Markov chain. Then the network system is described by Markov jump system, the influence of the quantization error can be transformed into the uncertainty under the sector boundary and the network delay is not constant but time varying that has upper and lower bound. Based on this model, a Lyapunov-Krasovskii functional is constructed and the sufficient conditions for system stochastic stability are obtained by linear matrix inequalities and this method has a performance level. Finally, simulation results are given to illustrate the effectiveness of the proposed method.

引文

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