November 30, 2018
Journal Article

Global Optimal Consensus for Discrete-time Multi-agent Systems with Bounded Controls

Abstract

In this paper, we consider the global optimal consensus problem for discrete-time multi-agent systems with bounded control protocols over xed undirected communication networks. Each agent is described by a discrete-time single integrator and endowed with a quadratic objective function which is private to itself. For each agent, we develop two bounded distributed protocols: bounded proportional-integral (PI) protocol and bounded integral (I) protocol, based on information receiving from its neighboring agents through the communication network and the gradient of its own objective function. We show that the proposed bounded distributed protocols with properly chosen parameters solve the global optimal consensus problem if the communication network is connected, i.e., the multi-agent system achieves consensus at a state that minimizes the sum of the objective functions of all agents. The theoretical results are illustrated by numerical simulations.

Revised: January 2, 2019 | Published: November 30, 2018

Citation

Yang T., Y. Wan, H. Wang, and Z. Lin. 2018. Global Optimal Consensus for Discrete-time Multi-agent Systems with Bounded Controls. Automatica 97. PNNL-SA-123639. doi:10.1016/j.automatica.2018.08.017