Abstract
To solve the optimal allocation problem with separable resource losses, this paper proposes a neurodynamic approach based on multi-agent system. By using KKT condition, the nonlinear coupling equality constraint in the original problem is equivalently transformed into a convex coupling inequality constraint. Then, with the help of finite-time tracking technology and fixed-time projection method, a neurodynamic approach is designed and its convergence is strictly proved. Finally, simulation results verify the effectiveness of the proposed neurodynamic approach.
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Acknowledgements
This paper is supported by the National Natural Science Foundation of China (No. 62176073, No. 12271127), Taishan Scholars of Shandong Province (No. tsqn202211090), and in part by the Natural Scientific Research Innovation Foundation in Harbin Institute of Technology.
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Luan, L., Liu, Y., Qin, S., Feng, J. (2024). Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses. In: Luo, B., Cheng, L., Wu, ZG., Li, H., Li, C. (eds) Neural Information Processing. ICONIP 2023. Lecture Notes in Computer Science, vol 14447. Springer, Singapore. https://doi.org/10.1007/978-981-99-8079-6_13
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DOI: https://doi.org/10.1007/978-981-99-8079-6_13
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