Consensus for Multi-Agent Systems under Output Constraints and Unknown Control Directions
Date
2023
Authors
Sun, Y.
Yan, B.
Shi, P.
Lim, C.C.
Editors
Advisors
Journal Title
Journal ISSN
Volume Title
Type:
Journal article
Citation
IEEE Systems Journal, 2023; 17(1):1035-1044
Statement of Responsibility
Yuan Sun, Student Member, IEEE, Bing Yan, Peng Shi, Fellow, IEEE, and Cheng-Chew Lim, Life Senior Member, IEEE
Conference Name
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.
School/Discipline
Dissertation Note
Provenance
Description
Date of publication 2 August 2022; date of current version 24 February 2023
Access Status
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.