@inproceedings{ca1baa4c403b43c390250eb4943ead5a,
title = "Convex relaxations and Gramian rank constraints for sensor and actuator selection in networks",
abstract = "We propose a convex relaxation heuristic for sensor and actuator selection problems in dynamical networks using Gramian metrics. We also propose heuristic algorithms to enforce a rank constraint on the Gramian that can be used in conjunction with combinatorial greedy algorithms and the convex relaxation. This allows selection of sensor or actuator sets that optimize an objective function while preserving a certain amount of observability or controllability throughout the state space, combining previous methods that focus exclusively on either rank or Gramian metrics. We illustrate and compare the greedy and convex relaxation heuristics in several numerical examples involving random and regular networks.",
author = "Tyler Summers and Iman Shames",
note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE International Symposium on Intelligent Control, ISIC 2016 ; Conference date: 19-09-2016 Through 22-09-2016",
year = "2016",
month = sep,
day = "29",
doi = "10.1109/ISIC.2016.7579985",
language = "English",
series = "IEEE International Symposium on Intelligent Control - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2016 IEEE International Symposium on Intelligent Control, ISIC 2016",
address = "United States",
}