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

Enric Xargay, Ronald Choe, Naira Hovakimyan, Isaac Kaminer

Research output: Contribution to journalConference article

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.

Original languageEnglish (US)
Article number6426392
Pages (from-to)6107-6112
Number of pages6
JournalProceedings of the IEEE Conference on Decision and Control
DOIs
StatePublished - Dec 1 2012
Event51st IEEE Conference on Decision and Control, CDC 2012 - Maui, HI, United States
Duration: Dec 10 2012Dec 13 2012

Fingerprint

Disturbance rejection
Topology
Disturbance Rejection
Information Flow
Convergence Properties
Directly proportional
Term

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Cite this

Convergence of a PI coordination protocol in networks with switching topology and quantized measurements. / Xargay, Enric; Choe, Ronald; Hovakimyan, Naira; Kaminer, Isaac.

In: Proceedings of the IEEE Conference on Decision and Control, 01.12.2012, p. 6107-6112.

Research output: Contribution to journalConference article

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