@inproceedings{920c0ed53a1c4a749db2731ef90d4d21,
title = "A systematic design process for internal model average consensus estimators",
abstract = "In the dynamic average consensus problem, agents in a communication network use information from their immediate neighbors to track the average of the group's time-varying inputs. Estimators based on the internal model principle solve this decentralized averaging problem with zero steady-state tracking error while providing robustness to network topology changes, agent failures, and communication faults. We develop a systematic process for designing these estimators. By formulating estimator synthesis as a robust control problem, we decouple the design process from specific networks. This formulation allows us to use an existing robust pole placement method to design estimators that meet performance specifications for a set of networks.",
author = "Elwin, {Matthew L.} and Freeman, {Randy A.} and Lynch, {Kevin M.}",
year = "2013",
doi = "10.1109/CDC.2013.6760816",
language = "English (US)",
isbn = "9781467357173",
series = "Proceedings of the IEEE Conference on Decision and Control",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5878--5883",
booktitle = "2013 IEEE 52nd Annual Conference on Decision and Control, CDC 2013",
address = "United States",
note = "52nd IEEE Conference on Decision and Control, CDC 2013 ; Conference date: 10-12-2013 Through 13-12-2013",
}