Event-Triggered Consensus of Multiagent Systems With Prescribed Performance
Wenfeng Hu, Yahui Hou, Zhiyong Chen, Chunhua Yang, Weihua Gui
Abstract
In this paper, we address the event-triggered consensus problem for single-integrator multi-agent systems by introducing a novel nonlinear control protocol. With the proposed consensus protocol, convergence with prescribed transient performance of the closed-loop system can be guaranteed while control execution is triggered by a delicately designed edge-based event-triggering mechanism. The protocol also ensures that no agent exhibits Zeno behavior. Moreover, the method can be extended to the design of a self-triggered algorithm that is able to determine the triggering time sequence without continuously accessing the network states.
Topics & Concepts
Computer scienceMulti-agent systemEvent (particle physics)ConsensusControl theory (sociology)Distributed computingControl (management)Artificial intelligencePhysicsQuantum mechanicsDistributed systems and fault toleranceLogic, Reasoning, and KnowledgeModular Robots and Swarm Intelligence