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https://hdl.handle.net/10356/163662
Title: | Cooperative control problem of Takagi-Sugeno fuzzy multiagent systems via observer based distributed adaptive sliding mode control | Authors: | Jin, Zhenghong Wang, Zhanxiu Zhang, Xuefeng |
Keywords: | Engineering::Electrical and electronic engineering | Issue Date: | 2022 | Source: | Jin, Z., Wang, Z. & Zhang, X. (2022). Cooperative control problem of Takagi-Sugeno fuzzy multiagent systems via observer based distributed adaptive sliding mode control. Journal of The Franklin Institute, 359(8), 3405-3426. https://dx.doi.org/10.1016/j.jfranklin.2022.03.024 | Journal: | Journal of The Franklin Institute | Abstract: | In this paper, the consensus control problem of Takagi-Sugeno (T-S) fuzzy multiagent systems (MASs) is investigated by using an observer based distributed adaptive sliding mode control. A distributed nonfragile observer is put forward to estimate the unmeasured state of agents. Based on such an observer, a novel distributed integral sliding surface is designed to suppress the disturbance and uncertainty of T-S fuzzy MASs. In order to achieve the consensus objective, a nominal distributed protocol and an adaptive sliding mode controller are separately designed. Futhermore, the nominal distributed protocol solves the consensus control problem of T-S fuzzy MASs in the absence of disturbance and uncertainty by using the information of adjacent agents obtained by the observer, while the adaptive sliding mode controller suppresses the disturbance and uncertainty. Finally, the proposed method is applied to two examples. Example 1 verifies the superiority of the method by comparing with the fuzzy-based dynamic sliding mode controller. Example 2 is used to illustrate that our control scheme can effectively solve the consensus control problem of T-S fuzzy MASs. | URI: | https://hdl.handle.net/10356/163662 | ISSN: | 0016-0032 | DOI: | 10.1016/j.jfranklin.2022.03.024 | Rights: | © 2022 The Franklin Institute. Published by Elsevier Ltd. All rights reserved. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | EEE Journal Articles |
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