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A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics

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References

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Acknowledgements

This work was supported by National Natural Science Foundation of China (Grant Nos. 61403280, 61773286). Li WANG acknowledged the support from 131 Innovative Talents Program of Tianjin.

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Authors and Affiliations

  1. Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology, Tianjin University of Technology, Tianjin, 300384, China

    Wenkai Xu, Li Wang, Shiwen Sun & Chengyi Xia

  2. The Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin, 300384, China

    Wenkai Xu, Li Wang, Shiwen Sun & Chengyi Xia

  3. College of Artificial Intelligence, Nankai University, Tianjin, 300350, China

    Zengqiang Chen

Authors
  1. Wenkai Xu
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  2. Li Wang
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  3. Shiwen Sun
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  4. Chengyi Xia
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  5. Zengqiang Chen
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Corresponding author

Correspondence to Li Wang.

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Supporting information

Appendixes A–C. The supporting information is available online at info.scichina.com and link.springer.com. The supporting materials are published as submitted, without typesetting or editing. The responsibility for scientific accuracy and content remains entirely with the authors.

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A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics

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Xu, W., Wang, L., Sun, S. et al. A novel policy iteration algorithm for solving the optimal consensus control problem of a discrete-time multiagent system with unknown dynamics. Sci. China Inf. Sci. 66, 189204 (2023). https://doi.org/10.1007/s11432-021-3603-0

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  • DOI: https://doi.org/10.1007/s11432-021-3603-0

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