A Novel Approach to Prescribed-Time Cooperative Output Regulation in Linear Heterogeneous Multi-Agent Systems Using Cascade System Criteria
This paper investigates the prescribed-time cooperative output regulation (PTCOR) for a class of linear heterogeneous multi-agent systems (MASs) under directed communication graphs. As a special case of PTCOR, the necessary and sufficient condition for prescribed-time output regulation of an individual system is first explored, whereas only sufficient conditions are developed in the literature. A PTCOR algorithm is subsequently developed, composed of prescribed-time distributed observers, local state observers, and tracking controllers, utilizing a distributed feedforward method. This approach converts the PTCOR problem into the prescribed-time stabilization problem of a cascaded subsystem. The criterion for the prescribed-time stabilization of the cascaded system is proposed, differing from that of traditional asymptotic or finite-time stabilization of a cascaded system. It is proven that the regulated outputs converge to zero within a prescribed time and remain at zero afterward, while all internal signals in the closed-loop MASs are uniformly bounded. Finally, the theoretical results are validated through two numerical examples.
Authors
- Yujuan Wang (ORCID: https://orcid.org/0000-0003-3355-095X)
- Yongduan Song (ORCID: https://orcid.org/0000-0002-2167-1861)
- Zhiyong Chen (ORCID: https://orcid.org/0000-0003-1301-9707)
- Lijun Zhu (ORCID: https://orcid.org/0000-0002-2655-1818)
- Gewei Zuo (ORCID: https://orcid.org/0000-0001-9674-9945)
Institutions
- Chongqing University (CN)
- Huazhong University of Science and Technology (CN)
- University of Newcastle Australia (AU)
Publication Details
- Journal
- IEEE Transactions on Circuits and Systems I Regular Papers
- Published
- 2025-04-16
- DOI
- https://doi.org/10.1109/tcsi.2025.3558826
- Citations
- 2
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China