Distributed Fixed-Time Resource Allocation Algorithm for the General Linear Multi-Agent Systems

This brief focuses on the distributed resource allocation problem (RAP) for a general linear heterogeneous multi-agent system (MAS), in which each agent adopts different structure parameters. By means of multi-agent consensus approach and symbolic-function-based fixed-time control theory, an initialization-free distributed resource allocation algorithm is designed. Moreover, the equality constraint is solved based on the proportional-integral (PI) control idea and the output of all agents tracks to the optimal solution within fixed-time. Finally, we reveal the effectiveness and fast convergence performance of our proposed algorithm by a simulation example.

Automated summary

This paper focuses on the distributed resource allocation problem for a general linear heterogeneous multi-agent system, proposing an initialization-free algorithm based on multi-agent consensus approach and symbolic-function-based fixed-time control theory. The algorithm solves the equality constraint using the proportional-integral (PI) control idea and achieves optimal solution convergence within fixed-time. Simulation results demonstrate the effectiveness and fast convergence performance of the proposed algorithm.