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author:

Liu, S. (Liu, S..) [1] (Scholars:刘尚坤) | Jiang, B. (Jiang, B..) [2] | Mao, Z. (Mao, Z..) [3] | Zhang, Y. (Zhang, Y..) [4]

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Abstract:

This paper addresses the issue of decentralized adaptive event-triggered fault-tolerant synchronization tracking control for multiple unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) with prescribed performance subject to actuator faults and external disturbances. The transformed error is presented by integrating the prescribed performance function into the synchronous tracking errors. Based on the transformed error, the decentralized adaptive event-triggered fault-tolerant synchronization tracking control scheme is developed to achieve the synchronous tracking purpose with prescribed performance subject to actuator faults and external disturbances. Based on Lyapunov theory, the stability of the closed-loop systems is analyzed and the synchronous tracking errors are bounded within the prescribed boundary. Furthermore, the Zeno behavior is also excluded. Finally, simulation studies are provided to verify the efficiency of the proposed control scheme.  © 1967-2012 IEEE.

Keyword:

event-triggered mechanism Fault-tolerant synchronization tracking control multiple UAVs and UGVs prescribed performance

Community:

  • [ 1 ] [Liu S.]Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing, 211106, China
  • [ 2 ] [Liu S.]Fuzhou University, College of Electrical Engineering and Automation, Fuzhou, 350108, China
  • [ 3 ] [Jiang B.]Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing, 211106, China
  • [ 4 ] [Mao Z.]Nanjing University of Aeronautics and Astronautics, College of Automation Engineering, Nanjing, 211106, China
  • [ 5 ] [Zhang Y.]Concordia University, Department of Mechanical, Industrial and Aerospace Engineering, Montreal, H3G1M8, QC, Canada

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Source :

IEEE Transactions on Vehicular Technology

ISSN: 0018-9545

Year: 2024

Issue: 7

Volume: 73

Page: 9656-9665

6 . 1 0 0

JCR@2023

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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