4.6 Article

Adaptive Event-Triggered Control for Unknown Second-Order Nonlinear Multiagent Systems

期刊

IEEE TRANSACTIONS ON CYBERNETICS
卷 51, 期 12, 页码 6131-6140

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.2964430

关键词

Eigenvalues and eigenfunctions; Laplace equations; Topology; Nonlinear dynamical systems; Decentralized control; Multi-agent systems; Adaptive control; event-triggered control; fully distributed control; multiagent systems (MASs); nonlinear dynamics

资金

  1. NSFC [61803194, 61877033, 61833005, 61673107]
  2. Natural Sciences and Engineering Research Council of Canada [RGPIN-2018-06724]
  3. Scientific Foundation of Shandong [2019KJN007, ZR2019YQ28]
  4. China Postdoctoral Foundation [2017M620183]
  5. China Scholarship Council

向作者/读者索取更多资源

This article investigates adaptive control problems for unknown second-order nonlinear multiagent systems using an event-triggered approach. It provides adaptive event-triggered consensus and tracking controllers for different types of MASs, demonstrating their distributed nature and effectiveness in controlling systems with unknown dynamics.
This article investigates adaptive control problems for unknown second-order nonlinear multiagent systems (MASs) via an event-triggered approach. An adaptive event-triggered consensus controller is given to second-order MAS with unknown nonlinear dynamics. We prove that the proposed consensus controller is free from Zeno behavior. Next, an adaptive event-triggered tracking controller is developed for leader-follower MAS with the leader having bounded nonzero control input. Both consensus and tracking controllers are fully distributed, which means that event-triggered controllers only use local cooperative information. Finally, an unknown second-order nonlinear MAS is used to verify the given event-triggered controllers.

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