Consensus of Input Constrained Multi-Agent Systems by Dynamic Time-Varying Event-Triggered Strategy With a Designable Minimal Inter-Event Time
Kai Zhang, Zhijian Hu, Fazhi Song, Xuefei Yang, Yang Liu
Abstract
This brief proposes a centralized dynamic time-varying event-triggered strategy to achieve the consensus control of input constrained multi-agent systems (MASs) with small-scale networks. The Zeno phenomenon is avoided and the corresponding designable minimal inter-event time is given in the established algorithm. Specially, the MIET can be assigned as a bounded constant of arbitrary size which is unrelated the characteristics of the system itself. Numerical simulation shows the effectiveness of the proposed approach.
Topics & Concepts
Zeno's paradoxesBounded functionControl theory (sociology)Computer scienceConstant (computer programming)Event (particle physics)Multi-agent systemControl (management)Distributed computingMathematicsArtificial intelligencePhysicsProgramming languageQuantum mechanicsMathematical analysisGeometryDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems