Bipartite Output Formation Tracking Control for Discrete-Time Singular Heterogenous Multi-Agent Systems
In this paper, the distributed bipartite output formation control problem of heterogeneous discrete-time singular multi-agent systems (MASs) is studied under the cooperative-competition network. Different from the classical formation control issue, the leader (also called exosystem) is also described by more general discrete-time singular dynamics. Based on the cooperative output regulation theory, the bipartite output formation with two opposing subgroups is realized by reconstructing bipartite tracking error and singular exosystem. To obtain the bipartite state of exosystem, a new exosystem observer associated with discrete-time singular algebraic Riccati equation (ARE) and signed directed topological matrix is designed. The observer coupling gains are introduced to enable the global error system to be included in the stability region of the unit circle. Then under the singular regulator equations and the separation principle, two classes of distributed observed-based controllers via state and output feedbacks are respectively presented for bipartite formation scenarios where the states of followers are known and unknown. Moreover, by redefining the expected relative dynamic positions, the proposed control strategies can be extended to achieve time-varying bipartite output formation. Finally, simulation results are given to verify the feasibility and effectiveness of the proposed algorithms.
Authors
- Jie Zhang (ORCID: https://orcid.org/0000-0001-8919-3328)
- Da‐Wei Ding (ORCID: https://orcid.org/0000-0003-1201-7785)
- Xiaolei Li (ORCID: https://orcid.org/0000-0002-5527-6042)
- Yao Yao (ORCID: https://orcid.org/0000-0003-4268-3594)
- Jian-An Wang (ORCID: https://orcid.org/0000-0001-9611-0869)
Institutions
- Yanshan University (CN)
- Taiyuan University of Science and Technology (CN)
- Taiyuan University of Technology (CN)
- University of Science and Technology Beijing (CN)
Publication Details
- Journal
- IEEE Transactions on Automation Science and Engineering
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/tase.2025.3584332
- Primary Topic
- Distributed Control Multi-Agent Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Shanxi Provincial Key Research and Development Project