Event-Triggered Formation Control of Multiagent Systems With Linear Continuous-Time Dynamic Models
Wei Zhu, Wenji Cao, Mingzhu Yan, Qingdu Li
Abstract
Event-triggered formation control of linear continuous-time multiagent systems is studied in this article. A complex-valued Laplacian is adopted by the local information of desired formation. For each agent, an event-triggering mechanism based on the neighboring information at event-triggering time instants is presented and continuous communications between neighboring agents are avoided. Furthermore, an event-triggered control strategy using the idea of dynamic state observer is designed. It is shown that any desired formation shape can be achieved. Moreover, the Zeno-behavior is strictly excluded. Finally, effectiveness of the obtained theoretical results is validated by two simulation examples.
Topics & Concepts
Zeno's paradoxesComputer scienceObserver (physics)Control theory (sociology)Event (particle physics)Multi-agent systemControl (management)Laplacian matrixState (computer science)Distributed computingMathematicsAlgorithmArtificial intelligenceTheoretical computer sciencePhysicsGeometryQuantum mechanicsGraphDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems