Adaptive Event-Triggered Consensus of Fractional-Order Nonlinear Multi-Agent Systems
Peng Xiao, Zhenyu Gu
Abstract
The leader-following consensus of fractional-order nonlinear multi-agent systems is studied in this paper. An adaptive event-triggered control protocol is proposed to achieve the leader-following consensus scheme. By applying Lyapunov stability theory of fractional-order systems and some effective inequality techniques, some sufficient conditions for ensuring the consensus are derived intensively, and the proposed control method can reduce the communication between the agents greatly. Moreover, the Zeno behavior of event-triggered algorithm for multi-agent systems is excluded. Finally, a simulation example is presented to validate the effectiveness of the proposed consensus protocol.
Topics & Concepts
Multi-agent systemConsensusComputer scienceNonlinear systemControl theory (sociology)Lyapunov stabilityProtocol (science)Stability (learning theory)Adaptive controlLyapunov functionControl (management)Artificial intelligenceMachine learningMedicineQuantum mechanicsAlternative medicinePhysicsPathologyDistributed Control Multi-Agent SystemsNeural Networks Stability and SynchronizationMathematical and Theoretical Epidemiology and Ecology Models