JOURNAL ARTICLE

Event-triggered prescribed-time bipartite consensus control of nonlinear multi-agent systems

Abstract

This paper investigates the event-triggered prescribed-time bipartite consensus of nonlinear multi-agent systems. In order to significantly reduce the communication burden and energy consumption, a novel event-triggered mechanism and triggering condition are proposed. Then, a distributed prescribed-time control protocol is proposed for the discussed nonlinear multi-agent systems to achieve bipartite consensus within the prescribed time based on the event-triggered mechanism. Using the Lyapunov stability theory, the stability of the nonlinear multi-agent systems is proved and the corresponding sufficient conditions are obtained. Moreover, it is shown that the Zeno behavior can be excluded. Simulation results are presented to show the effectiveness of the theoretical results.

Keywords:
Multi-agent system Nonlinear system Bipartite graph Control theory (sociology) Lyapunov stability Computer science Consensus Lyapunov function Protocol (science) Event (particle physics) Stability (learning theory) Control (management) Distributed computing Artificial intelligence Theoretical computer science Medicine Physics

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Topics

Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications
Neural Networks Stability and Synchronization
Physical Sciences →  Computer Science →  Computer Networks and Communications
Adaptive Control of Nonlinear Systems
Physical Sciences →  Engineering →  Control and Systems Engineering

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