Abstract
In this paper, we focus on the cooperative tracking problem of multi-agent systems with nonlinear dynamics and communication time delays. Only a portion of agents can access the information of the desired trajectory and there are communication delays among the agents. Through designing an adaptive neural network based control law and constructing an appropriate Lyapunov-Krasovskii functional, it is proved that the tracking error of each agent converges to a neighborhood of zero. Simulation results are provided to show the effectiveness of the proposed algorithm.
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Cui, R., Cui, D., Chen, M. (2013). Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7952. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39068-5_15
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DOI: https://doi.org/10.1007/978-3-642-39068-5_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-39067-8
Online ISBN: 978-3-642-39068-5
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