Abstract
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.
This research was supported by the National Nature Science Foundation of China under Grant No. 61673104 and the National Priority Research Project NPRP 7-1482-1-278 funded by Qatar National Research Fund.
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Wen, G., Wang, P., Huang, T., Cheng, L., Sun, J. (2017). Neuro-Adaptive Containment Seeking of Multiple Networking Agents with Unknown Dynamics. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10262. Springer, Cham. https://doi.org/10.1007/978-3-319-59081-3_22
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DOI: https://doi.org/10.1007/978-3-319-59081-3_22
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