Distributed Model Predictive Cross-Dimensional Formation Control for Heterogeneous Multiagent Systems
In this paper, a distributed predefined-time model predictive formation control method is proposed for second-order multidimensional cross-dimensional heterogeneous multiagent systems (HMASs) with collision avoidance, switching topology and formation transformation. First, a distributed cross-dimensional formation control protocol based on the full or partial information of neighboring agents is proposed for multidimensional heterogeneous multiagent systems. Second, a formation cooperative control approach that can quickly achieve the desired formation and formation transformation is designed by combining the predefined-time control strategy with the auxiliary control law of Lyapunov-based distributed model predictive control (DMPC). In addition, collision avoidance among agents can be achieved by adding a collision penalty mechanism to the cost function. Finally, an application to heterogeneous multiagent unmanned surface vehicle and unmanned underwater vehicle (USV-UUV) systems, through which the effectiveness of the proposed results has been demonstrated, and the simulation results are analyzed to evaluate the effectiveness and reliability of the proposed method.
Authors
- Haitao Liu (ORCID: https://orcid.org/0000-0003-0995-4655)
- Z.K. Li
- Haochun Liu
- Xuehong Tian (ORCID: https://orcid.org/0000-0001-6888-6635)
- Qingqun Mai (ORCID: https://orcid.org/0000-0001-7350-7126)
Institutions
- Guangdong Ocean University (CN)
Publication Details
- Journal
- IEEE Access
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/access.2025.3555976
- Citations
- 2
- Primary Topic
- Advanced Control Systems Optimization
- Type
- article
- Field-Weighted Citation Impact
- 2.43
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province