Convergence of a PI coordination protocol in networks with switching topology and quantized measurements

Abstract

This paper analyzes the convergence properties of a distributed proportional-integral protocol for coordination of a network of agents with multiple leaders, dynamic information flow, and quantized measurements. We show that the integral term of the protocol allows the follower agents to `learn' the reference rate, rather than have it available a priori, and also provides disturbance rejection capabilities.