@inproceedings{ad71de81b2a14610a9b8ae3995af67aa,
title = "Adaptive architectures for distributed control of modular systems",
abstract = "We consider the distributed control of large-scale modular systems, i.e., systems consist of physically interconnected (and possibly heterogeneous) submodules that use local information to achieve a given set of global objectives. A graph-theoretic approach is used to model the unknown physical interactions between submodules and utilize an adaptive control algorithm to learn and cancel the effect of such interactions as well as the submodule-level modeling uncertainties asymptotically by allowing submodules to locally communicate with each other through the graph. The key feature of our framework is to bound the mismatch error between the actual and desired closed-loop modular system performance by a constant that is a priori known and does neither depend on the underlying graph topology nor uncertainties.",
keywords = "Adaptive systems, Control system architecture, Large scale systems",
author = "Tansel Yucelen and Shamma, {Jeff S.}",
year = "2014",
doi = "10.1109/ACC.2014.6858859",
language = "English (US)",
isbn = "9781479932726",
series = "Proceedings of the American Control Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1328--1333",
booktitle = "2014 American Control Conference, ACC 2014",
address = "United States",
note = "2014 American Control Conference, ACC 2014 ; Conference date: 04-06-2014 Through 06-06-2014",
}