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Quasisynchronization of Heterogeneous Dynamical Networks via Event-Triggered Impulsive Controls

Wen Sun, Huannan Zheng, Wanli Guo, Yuhua Xu, Jinde Cao, Mahmoud Abdel‐Aty, Shihua Chen

2020IEEE Transactions on Cybernetics63 citationsDOI

Abstract

The time-triggered impulsive control of complex homogeneous dynamical networks has received wide attention due to its occasional occupation of the communication channels. This article is devoted to quasisynchronization of heterogeneous dynamical networks via event-triggered impulsive controls with less channel occupation. Two kinds of triggered mechanisms, that is, the centralized event-triggered mechanism in which the control is updated based upon the state information of all nodes, and the distributed event-triggered mechanism where the control is updated according to the state information of each node and its neighboring node, are proposed, respectively, such that the synchronization error between the heterogeneous dynamical networks and a virtual target is not more than a nonzero bound. What is more, the Zeno behavior is shown to be excluded. It is found that the combination method of the event-triggered control and the impulsive control, that is, the distributed event-triggered impulsive control has the advantage of low-energy consumption and takes up many fewer communication channels over the time-triggered impulsive control. Two numerical examples are conducted to illustrate the effectiveness of the proposed event-triggered impulsive controls.

Topics & Concepts

Computer scienceImpulse controlSynchronization (alternating current)HomogeneousEvent (particle physics)Node (physics)Control (management)Control theory (sociology)Topology (electrical circuits)Channel (broadcasting)Distributed computingComputer networkMathematicsEngineeringPhysicsPsychologyArtificial intelligencePsychotherapistStructural engineeringCombinatoricsQuantum mechanicsNeural Networks Stability and SynchronizationDistributed Control Multi-Agent SystemsNonlinear Dynamics and Pattern Formation
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