Predefined-time consensus tracking control for multi-agent systems with full-state constraints

Zhihong Zhao, Feng Peng, Tong Wang, Jinyong Yu and Shuai Sui

Chaos, Solitons & Fractals, 2025, vol. 191, issue C

Abstract: A practical predefined-time control of multi-agent nonlinear systems with full-state constraints is studied in this paper, where the multiple agents are driven to reach consensus. Compared with existing related research, this predefined-time control can directly constrain all states instead of constraining tracking and virtual errors and ensure the practical predefined-time stability of closed-loop multi-agent systems. A new full-state constrained control framework is proposed to convert the dynamic model under full-state constraints into an unconstrained dynamic model. Fuzzy logic systems are applied to estimate the unknown nonlinear terms present in the transformed dynamic model. Combining the back stepping control framework and the predefined-time control theory, the predefined-time fuzzy adaptive consensus tracking control approach is proposed. The designed control technique ensures that the controlled multi-agent systems achieve stability within a predesignated time and maintain all system states within the desired range. Finally, a simulation example of attitude consensus tracking of multiple quadrotor unmanned aerial vehicles is provided to validate the effectiveness of the proposed control approach.

Keywords: Predefined-time control; Full-state constraints; Non-singular control (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0960077924014206
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:191:y:2025:i:c:s0960077924014206

DOI: 10.1016/j.chaos.2024.115868

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. ().