Exponential finite-time consensus of fractional-order multi-agent systems
文献类型：期刊论文
| 作者 | Huiyang Liu; Long Cheng ; Min Tan; Zeng-Guang Hou
|
| 刊名 | IEEE Transactions on Systems, Man, and Cybernetics: Systems
 |
| 出版日期 | 2018 |
| 关键词 | Directed network topology exponential finitetime consensus fast sliding-mode algorithms fractional-order dynamics multiagent systems |
| DOI | 10.1109/TSMC.2018.2816060 |
| 英文摘要 | The application of the fast sliding-mode control technique on solving consensus problems of fractional-order multiagent systems is investigated. The design and analysis are based on a combination of the distributed coordination theory and the knowledge of fractional-order dynamics. First, a sliding-mode manifold (surface) vector is defined, and then the fractional-order multiagent system is transformed into an integer-order (namely, first-order) multiagent system. Second, based on the fast sliding-mode control technique, a protocol is proposed for the obtained first-order multiagent system. Third, a new Lyapunov function is presented. By suitably estimating the derivative of the Lyapunov function, the reachability of the sliding-mode manifold is derived. It is proved that the exponential finite-time consensus can be achieved if the communication network has a directed spanning tree. Finally, the effectiveness of the proposed algorithms is demonstrated by some examples. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/23170]  |
| 专题 | 自动化研究所_复杂系统管理与控制国家重点实验室_先进机器人控制团队 |
| 推荐引用方式 GB/T 7714 | Huiyang Liu,Long Cheng,Min Tan,et al. Exponential finite-time consensus of fractional-order multi-agent systems[J]. IEEE Transactions on Systems, Man, and Cybernetics: Systems,2018. |
| APA | Huiyang Liu,Long Cheng,Min Tan,&Zeng-Guang Hou.(2018).Exponential finite-time consensus of fractional-order multi-agent systems.IEEE Transactions on Systems, Man, and Cybernetics: Systems. |
| MLA | Huiyang Liu,et al."Exponential finite-time consensus of fractional-order multi-agent systems".IEEE Transactions on Systems, Man, and Cybernetics: Systems (2018). |
入库方式： OAI收割
来源：自动化研究所
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