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https://hdl.handle.net/2440/136293
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Type: | Journal article |
Title: | Consensus for Multi-Agent Systems under Output Constraints and Unknown Control Directions |
Author: | Sun, Y. Yan, B. Shi, P. Lim, C.C. |
Citation: | IEEE Systems Journal, 2023; 17(1):1035-1044 |
Publisher: | Institute of Electrical and Electronics Engineers |
Issue Date: | 2023 |
ISSN: | 1932-8184 1937-9234 |
Statement of Responsibility: | Yuan Sun, Student Member, IEEE, Bing Yan, Peng Shi, Fellow, IEEE, and Cheng-Chew Lim, Life Senior Member, IEEE |
Abstract: | In this article, we design an adaptive leader–follower consensus controller for a class of nonlinear multiagent systems in the presence of time-varying asymmetric output constraints and unknown control directions. A new state transformation approach is introduced for each agent to transform the output into an equivalent unconstrained state. An adaptive neural network-based backstepping control method and a Nussbaum function approach are integrated to design the leader–follower consensus controller that compensates for the unknown control directions and guarantees that the consensus tracking error converges to a small compact set. Examples are given to demonstrate the effectiveness of the proposed new design techniques. |
Keywords: | Adaptive neural network control; leader–follower consensus; multiagent systems (MASs); output constraints |
Description: | Date of publication 2 August 2022; date of current version 24 February 2023 |
Rights: | © 2022 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission. See https://www.ieee.org/publications/rights/index.html for more information. |
DOI: | 10.1109/JSYST.2022.3192573 |
Grant ID: | http://purl.org/au-research/grants/arc/DP170102644 |
Published version: | http://dx.doi.org/10.1109/jsyst.2022.3192573 |
Appears in Collections: | Electrical and Electronic Engineering publications |
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