Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses

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.