Finite-time Non-overshooting Leader-following Consensus Control for Multi-Agent Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | , , , |
|---|---|
| Formato: | Preprint |
| Publicado: |
2024
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1866913607429652480 |
|---|---|
| author | Li, Min Polyakov, Andrey Wang, Siyuan Zheng, Gang |
| author_facet | Li, Min Polyakov, Andrey Wang, Siyuan Zheng, Gang |
| contents | This paper addresses the finite-time non-overshooting leader-following consensus problem for multi-agent systems, whose agents are modeled by a dynamical system topologically equivalent to the integrator chain. Based on the weighted homogeneity, a nonlinear consensus control protocol is designed. A tuning scheme ensures the finite-time stability of the consensus error such that the agents do not have overshoots in the first component of the state vector. Simulations are presented to demonstrate the effectiveness of the proposed design. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2412_07855 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Finite-time Non-overshooting Leader-following Consensus Control for Multi-Agent Systems Li, Min Polyakov, Andrey Wang, Siyuan Zheng, Gang Optimization and Control This paper addresses the finite-time non-overshooting leader-following consensus problem for multi-agent systems, whose agents are modeled by a dynamical system topologically equivalent to the integrator chain. Based on the weighted homogeneity, a nonlinear consensus control protocol is designed. A tuning scheme ensures the finite-time stability of the consensus error such that the agents do not have overshoots in the first component of the state vector. Simulations are presented to demonstrate the effectiveness of the proposed design. |
| title | Finite-time Non-overshooting Leader-following Consensus Control for Multi-Agent Systems |
| topic | Optimization and Control |
| url | https://arxiv.org/abs/2412.07855 |