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. © 2014 American Automatic Control Council.
Recommended Citation
T. Yucelen and J. S. Shamma, "Adaptive Architectures for Distributed Control of Modular Systems," Proceedings of the American Control Conference, pp. 1328 - 1333, article no. 6858859, Institute of Electrical and Electronics Engineers, Jan 2014.
The definitive version is available at https://doi.org/10.1109/ACC.2014.6858859
Department(s)
Mechanical and Aerospace Engineering
Keywords and Phrases
Adaptive systems; Control system architecture; Large scale systems
International Standard Book Number (ISBN)
978-147993272-6
International Standard Serial Number (ISSN)
0743-1619
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 Institute of Electrical and Electronics Engineers, All rights reserved.
Publication Date
01 Jan 2014
