Symmetric Bipartite Containment Tracking of High-Order Networked Agents via Predefined-Time Backstepping Control
Signed networks, which incorporate both cooperative and antagonistic interactions, naturally give rise to symmetric behaviors in multi-agent systems. One such behavior is bipartite containment tracking, where follower agents converge to a symmetric configuration determined by multiple groups of leaders with opposing influence. Moreover, a timely response is critical to ensuring high performance in containment tracking tasks, particularly for high-order multi-agent systems operating in dynamic and uncertain environments. To this end, this paper investigates the predefined-time bipartite containment tracking problem for high-order multi-agent systems affected by external disturbances. A robust tracking control scheme is developed based on the backstepping method to ensure that the tracking errors converge to a predefined residual set within a user-specified time. The convergence time is explicitly adjustable through a design parameter, and the proposed scheme effectively avoids the singularities often encountered in conventional predefined-time control approaches. The stability and robustness of the proposed scheme are rigorously established through Lyapunov-based analysis, and extensive simulation results are provided to validate our theoretical findings.
Authors
- Mengji Shi (ORCID: https://orcid.org/0000-0003-1360-9846)
- Kaiyu Qin (ORCID: https://orcid.org/0000-0002-0812-7095)
- Zhiqiang Li
- Bowen Chen (ORCID: https://orcid.org/0000-0002-8734-0192)
Institutions
- University of Electronic Science and Technology of China (CN)
- Institute of Optics and Electronics, Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Symmetry
- Published
- 2025-09-02
- DOI
- https://doi.org/10.3390/sym17091425
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Sichuan Province
- Fundamental Research Funds for the Central Universities