Distributed time-varying optimal resource allocation: A collective neurodynamic approach

A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain g...

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Bibliographic Details
Published in:Physica scripta 2025-02
Main Authors: Cai, Xin, Chen, Xingzhi, Sun, Ming, Gao, Bingpeng
Format: Article
Language:English
Online Access:Get full text
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Summary:A collective neurodynamic approach is presented in this paper to solve a distributed time-varying resource allocation problem in which both non-quadratic local objective functions and a global equality constraint vary with time. Resorting to a dynamic average consensus protocol to estimate certain global information, a novel neurodynamic approach with a two-time scale structure is proposed to track asymptotically the time-varying optimal resource allocation of the given problem in a distributed manner. It is analyzed that the presented neurodynamic model, which is regarded as a singular perturbation system, converges to the time-varying optimal resource allocation by the singular perturbation theory. At last, the obtained results are verified by two numerical examples, from which the designed method has better convergence accuracy than the existing work.
ISSN:0031-8949
1402-4896
DOI:10.1088/1402-4896/adb652