Resilient Control of Linear Time-invariant Networked Multiagent Systems
Abstract
A local state emulator-based adaptive control law is proposed for multiagent systems with agents having linear time-invariant dynamics. Specifically, we present and analyze a distributed adaptive control architecture, where agents achieve system-level goals in the presence of exogenous disturbances. Apart from existing relevant literature that makes specific assumptions on network topologies, agent dynamics, and/or the fraction of agents subjected to disturbances, the proposed approach allows agents to achieve system-level goals - even when all agents are subject to exogenous disturbances. Several numerical examples are provided to demonstrate the efficacy of our approach.
Recommended Citation
J. Daniel Peterson et al., "Resilient Control of Linear Time-invariant Networked Multiagent Systems," ASME 2017 Dynamic Systems and Control Conference, DSCC 2017, vol. 2, American Society of Mechanical Engineers, Jan 2017.
The definitive version is available at https://doi.org/10.1115/DSCC2017-5059
Department(s)
Mechanical and Aerospace Engineering
International Standard Book Number (ISBN)
978-079185828-8
Document Type
Article - Conference proceedings
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2024 American Society of Mechanical Engineers, All rights reserved.
Publication Date
01 Jan 2017
Comments
University of Missouri, Grant None