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Event-Triggered Dissipative Tracking Control of Networked Control Systems With Distributed Communication Delay

Zhou Gu, Shen Yan, Choon Ki Ahn, Dong Yue, Xiangpeng Xie

2021IEEE Systems Journal91 citationsDOI

Abstract

This article presents the design of an event-trigger-based networked robust dissipative tracking control systems. An event-triggered mechanism (ETM) is proposed by introducing the probability density distribution of communication delay. Thus, it can yield less conservative results. The tracking error system is transferred by a distributed communication delay system wherein the delay probability density is viewed as the kernel of the distributed delay. The threshold of the proposed ETM is designed as a dynamic parameter to adapt the transmission of the control signal. By applying the Lyapunov method, sufficient conditions are achieved to ensure the stability of the tracking error system with strictly dissipative performance, which includes <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$H_{\infty }$</tex-math></inline-formula> performance and passive performance. Based on the dissipativity analysis condition, a co-design method with both tracking control and the ETM is derived in a united framework. Experiments on networked dc motor tracking system are provided to show the effectiveness of the presented method.

Topics & Concepts

Dissipative systemTracking errorControl theory (sociology)Tracking (education)Networked control systemComputer scienceEvent (particle physics)Stability (learning theory)Transmission (telecommunications)Control systemTracking systemNotationProbability density functionControl (management)MathematicsEngineeringArtificial intelligenceTelecommunicationsMachine learningStatisticsKalman filterQuantum mechanicsArithmeticPedagogyPhysicsElectrical engineeringPsychologyStability and Control of Uncertain SystemsNeural Networks Stability and SynchronizationDistributed Control Multi-Agent Systems
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