Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses

EasyChair Preprint 11283

Abstract

To solve the optimal allocation problem with separable resource losses, this paper proposes a neurodynamic method 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 method is designed and its convergence is strictly proved. Finally, the simulation results verify the effectiveness of the proposed neurodynamic method.

Keyphrases: Distributed neurodynamic approach, Optimal allocation problem, Separable resource losses

@booklet{EasyChair:11283,
  author    = {Linhua Luan and Yining Liu and Sitian Qin and Jiqiang Feng},
  title     = {Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses},
  howpublished = {EasyChair Preprint 11283},
  year      = {EasyChair, 2023}}