Neuro-adaptive containment seeking of multiple networking agents with unknown dynamics
Guanghui Wen; Peijun Wang; Tingwen Huang; Long Cheng; Junyong Sun
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.
内容类型会议论文
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.
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