Abstract
Nonlinear time-delayed multi-agent systems with connectivity preservation are investigated in this paper. For each agent, the distributed controller is divided into five different parts which are designed to meet the requirements of the nonlinear time-delayed multi-agent systems, such as preserving connectivity, learning the unknown dynamics, eliminating time delays and reaching consensus. In addition, a \(\sigma \)-function technique is utilized to avoid the singularity in the developed distributed controller. Finally, simulation results demonstrate the effectiveness of the developed control protocol.
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Acknowledgement
This work was supported in part by the National Natural Science Foundation of China under Grants 61233001, 61273140, 61304086, and 61374105, in part by Beijing Natural Science Foundation under Grant 4132078, and in part by the Early Career Development Award of SKLMCCS.
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Ma, H., Liu, D., Wang, D. (2015). Distributed Control for Nonlinear Time-Delayed Multi-Agent Systems with Connectivity Preservation Using Neural Networks. In: Arik, S., Huang, T., Lai, W., Liu, Q. (eds) Neural Information Processing. ICONIP 2015. Lecture Notes in Computer Science(), vol 9491. Springer, Cham. https://doi.org/10.1007/978-3-319-26555-1_5
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DOI: https://doi.org/10.1007/978-3-319-26555-1_5
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