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Resilient Control of Linear Time-Invariant Networked Multiagent Systems

[+] Author Affiliations
J. Daniel Peterson

Missouri S&T, Rolla, MO

Gerardo De La Torre

Northwestern University, Evanston, IL

Tansel Yucelen, Dzung Tran, K. Merve Dogan

University of South Florida, Tampa, FL

Drew McNeely

University of Arizona, Tucson, AZ

Paper No. DSCC2017-5059, pp. V002T14A002; 9 pages
  • ASME 2017 Dynamic Systems and Control Conference
  • Volume 2: Mechatronics; Estimation and Identification; Uncertain Systems and Robustness; Path Planning and Motion Control; Tracking Control Systems; Multi-Agent and Networked Systems; Manufacturing; Intelligent Transportation and Vehicles; Sensors and Actuators; Diagnostics and Detection; Unmanned, Ground and Surface Robotics; Motion and Vibration Control Applications
  • Tysons, Virginia, USA, October 11–13, 2017
  • Conference Sponsors: Dynamic Systems and Control Division
  • ISBN: 978-0-7918-5828-8
  • Copyright © 2017 by ASME


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.

Copyright © 2017 by ASME



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