Convergence of a PI Coordination Protocol in Networks with Switching Topology and Quantized Measurements
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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.