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Event-Triggered Control for Distributed Optimal in Multi-agent Systems with External Disturbance

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Machine Learning for Cyber Security (ML4CS 2020)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 12486))

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Abstract

In this paper, based on linear quadratic theory, the optimal control problem for multi-agent systems with external disturbances is studied. Firstly, the optimal distributed controller is designed by the performance index function without the disturbances. Then, by using observer to estimate the external disturbances. Next, based on an event-triggered mechanism, the composite control protocol is designed with least sampling interval. The consistency control algorithm is analyzed by means of modern control theory and matrix theory, and distributed event-triggered conditions are obtained. Finally, the proposed algorithm is verified by simulation.

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Acknowledgments

The work is supported by the National Natural Science Foundation of China (61673200, 61771231), the Major Basic Research Project of Natural Science Foundation of Shandong Province of China (ZR2018ZC0438) and the Key Research and Development Program of Yantai of China(2019XDHZ085).

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Correspondence to Hongyong Yang .

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Liu, Y., Yang, H., Yang, Y., Li, Y. (2020). Event-Triggered Control for Distributed Optimal in Multi-agent Systems with External Disturbance. In: Chen, X., Yan, H., Yan, Q., Zhang, X. (eds) Machine Learning for Cyber Security. ML4CS 2020. Lecture Notes in Computer Science(), vol 12486. Springer, Cham. https://doi.org/10.1007/978-3-030-62223-7_21

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  • DOI: https://doi.org/10.1007/978-3-030-62223-7_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-62222-0

  • Online ISBN: 978-3-030-62223-7

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