Neuro-adaptive containment seeking of multiple networking agents with unknown dynamics
文献类型：会议论文
| 作者 | Guanghui Wen; Peijun Wang; Tingwen Huang; Long Cheng ; Junyong Sun
|
| 出版日期 | 2017 |
| 会议日期 | JUN 21-26, 2017 |
| 会议地点 | Sappro |
| 国家 | Jappan |
| 英文摘要 | This paper studies the quasi-containment and asymptotic containment problems of networking uncertain agents with multiple leaders over a fixing communication graph. A kind of containment controller consisting of a linear feedback term, a neuro-adaptive approximation term as well as a non-smooth feedback term is designed to complete the goal of quasi-containment. Under the assumption that the subgraph depicting the underlying communication configuration among multiple followers is detail-balanced and each follower can be at least indirectly influenced by one leader, it is proven that quasi-containment can be realized if the containment controller are appropriately designed. The results are then extended to asymptotic containment of networking uncertain agents with multiple leaders. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/23127]  |
| 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 | Guanghui Wen,Peijun Wang,Tingwen Huang,et al. Neuro-adaptive containment seeking of multiple networking agents with unknown dynamics[C]. 见:. Sappro. JUN 21-26, 2017. |
入库方式： OAI收割
来源：自动化研究所
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