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author:

Liu, Shangkun (Liu, Shangkun.) [1] | Jiang, Bin (Jiang, Bin.) [2] | Mao, Zehui (Mao, Zehui.) [3] | Zhang, Youmin (Zhang, Youmin.) [4] | Huang, Jie (Huang, Jie.) [5]

Indexed by:

EI

Abstract:

In this paper, the issue of distributed adaptive finite-time fault-tolerant cooperative control (FT-FTCC) problem is investigated for multiple unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGVs) with unknown parameter uncertainties, actuator faults, input saturation and external disturbances. Starting from the dynamic models of the UAVs and UGVs, an unified control model is presented. Then, a sliding-mode estimator is presented to estimate the position of the leader for the followers which only uses the information from neighbours. Next, a distributed adaptive FT-FTCC scheme, which can also deal with the uncertainties, actuator faults, input saturation and disturbances, is proposed by utilising disturbance observers and neural networks. Based on Lyapunov function approach, the tracking errors of all followers subject to the pre-defined desired positions are uniformly ultimately bounded. Finally, simulations are given to validate the efficiency of the developed FT-FTCC scheme. © 2024 Informa UK Limited, trading as Taylor & Francis Group.

Keyword:

Adaptive control systems Air cushion vehicles Lyapunov functions Magnetic levitation vehicles Radial basis function networks Time varying control systems Unmanned aerial vehicles (UAV)

Community:

  • [ 1 ] [Liu, Shangkun]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou, China
  • [ 2 ] [Jiang, Bin]College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, Nanjing, China
  • [ 3 ] [Mao, Zehui]College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Jiangsu, Nanjing, China
  • [ 4 ] [Zhang, Youmin]Department of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Canada
  • [ 5 ] [Huang, Jie]College of Electrical Engineering and Automation, Fuzhou University, Fujian, Fuzhou, China

Reprint 's Address:

  • [huang, jie]college of electrical engineering and automation, fuzhou university, fujian, fuzhou, china

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Source :

International Journal of Systems Science

ISSN: 0020-7721

Year: 2025

Issue: 7

Volume: 56

Page: 1442-1456

4 . 9 0 0

JCR@2023

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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