Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/155277
Title: Fuzzy adaptive fault-tolerant control for non-identifiable multi-agent systems under switching topology
Authors: Zhang, Ao
Deng, Chao
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2020
Source: Zhang, A. & Deng, C. (2020). Fuzzy adaptive fault-tolerant control for non-identifiable multi-agent systems under switching topology. International Journal of Fuzzy Systems, 22(7), 2246-2257. https://dx.doi.org/10.1007/s40815-020-00926-6
Journal: International Journal of Fuzzy Systems
Abstract: This paper considers the leader-following consensus problem for linear multi-agent systems (MASs) with actuator faults, matched unknown nonlinearity and non-identifiable uncertainty under switching network topology for studying. A novel distributed switching fault-tolerant controller is established by approximating the nonlinear dynamics using a fuzzy logic system and by developing adaptive update laws with switching mechanisms. Besides, by introducing an adaptive mechanism to estimate the norm of weight vectors in the FLS, the developed controller can not only reduce the number of adaptive parameters but also is effective to compensate for unknown nonlinearity under the influence of actuator faults. Furthermore, it can be shown that the consensus errors are uniformly ultimately bounded by utilizing the proposed method. Compared with the existing MASs’ results with switching network topology, the nonlinearity considered is completely unknown and fewer adaptive parameters are used to counteract the influence of nonlinearity. Finally, the efficiency and effectiveness of the developed approach are demonstrated by an illustrative example.
URI: https://hdl.handle.net/10356/155277
ISSN: 1562-2479
DOI: 10.1007/s40815-020-00926-6
Rights: © 2020 Taiwan Fuzzy Systems Association. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

Page view(s)

16
Updated on May 25, 2022

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.