Intermittent Cluster Consensus Control of Multiagent Systems From a Static/Dynamic Output Approach
Shanling Dong, Guanrong Chen, Meiqin Liu, Zheng‐Guang Wu
Abstract
This article is concerned with the cluster consensus control problem for multiagent linear systems with a directed communication topology, where only relative output measurements of neighboring agents are available to each agent. Motivated by the pinning control technique, both static and dynamic intermittent output control strategies are proposed. Using Lyapunov functions, sufficient conditions are developed to ensure cluster consensus with existence-guaranteed control parameters. Both periodic and nonperiodic operations of intermittent controllers are investigated. Finally, the effectiveness of the theoretical results is demonstrated by a simulation example.
Topics & Concepts
Cluster (spacecraft)Multi-agent systemControl theory (sociology)Control (management)Lyapunov functionIntermittent controlComputer scienceTopology (electrical circuits)ConsensusControl engineeringMathematicsEngineeringNonlinear systemArtificial intelligenceQuantum mechanicsProgramming languagePhysicsCombinatoricsDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationStability and Control of Uncertain Systems