Optimal bipartite consensus control for nonlinear MASs: A new predefined-time dynamic event-triggered approach

Haoming Zou, Guoshan Zhang and Zhiyong Chen

Chaos, Solitons & Fractals, 2025, vol. 192, issue C

Abstract: This paper presents a novel predefined-time (PDT) event-triggered (ET) optimal bipartite consensus control scheme for multi-agent systems (MASs) with external disturbances. Firstly, an adaptive disturbance observer is designed to accurately estimate the external disturbances within a predefined time, and relax the condition that the upper bound of the disturbance derivative is known. Then, an ET-based consensus optimal control scheme is formulated for MASs by incorporating command filtering technology, backstepping method, and reinforcement learning algorithm. This scheme can obtain satisfactory performance and minimize performance index within a predefined time, and the PDT command filter technique can address “computation complexity” issue. In addition, a new type of dynamic ET mechanism is designed for controller that can ensure the system’s PDT stability and reduce the execution time of controller, in which the dynamic variable can achieve PDT convergence. Finally, the practical PDT stability is proved, and the Zeno behavior is excluded. The effectiveness and superiority are validated through simulation examples.

Keywords: Bipartite consensus control; Predefined-time; Command filter; Disturbance observer; Reinforcement learning (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077925000864
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:chsofr:v:192:y:2025:i:c:s0960077925000864

DOI: 10.1016/j.chaos.2025.116073

Access Statistics for this article

Chaos, Solitons & Fractals is currently edited by Stefano Boccaletti and Stelios Bekiros

More articles in Chaos, Solitons & Fractals from Elsevier
Bibliographic data for series maintained by Thayer, Thomas R. ().