Networked multi-agent systems consist of interacting agents that locally exchange information, energy, or matter. Since these systems do not in general have a centralized architecture to monitor the activity of each agent, resilient distributed control system design for networked multi-agent systems is essential in providing high system performance, reliability, and operation in the presence of system uncertainties. An important class of such system uncertainties that can significantly deteriorate the achievable closed-loop system performance is sensor uncertainties, which can arise due to low sensor quality, sensor failure, sensor bias, or detrimental environmental conditions. This paper presents a novel distributed adaptive control architecture for networked multi-agent systems with undirected communication graph topologies to mitigate the effect of sensor uncertainties. Specifically, we consider agents having identical high-order, linear dynamics with agent interactions corrupted by unknown exogenous disturbances. We show that the proposed adaptive control architecture guarantees asymptotic stability of the closed-loop dynamical system when the exogenous disturbances are time-invariant and uniform ultimate boundedness when the exogenous disturbances are time-varying. Two numerical examples are provided to illustrate the efficacy of the proposed distributed adaptive control architecture.
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April 2017
Research-Article
Mitigating the Effects of Sensor Uncertainties in Networked Multi-Agent Systems
Ehsan Arabi,
Ehsan Arabi
Department of Mechanical Engineering,
University of South Florida,
Tampa, FL 33620
e-mail: arabi@lacis.team
University of South Florida,
Tampa, FL 33620
e-mail: arabi@lacis.team
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Tansel Yucelen,
Tansel Yucelen
Department of Mechanical Engineering,
University of South Florida,
Tampa, FL 33620
e-mail: yucelen@lacis.team
University of South Florida,
Tampa, FL 33620
e-mail: yucelen@lacis.team
Search for other works by this author on:
Wassim M. Haddad
Wassim M. Haddad
School of Aerospace Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: wm.haddad@aerospace.gatech.edu
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: wm.haddad@aerospace.gatech.edu
Search for other works by this author on:
Ehsan Arabi
Department of Mechanical Engineering,
University of South Florida,
Tampa, FL 33620
e-mail: arabi@lacis.team
University of South Florida,
Tampa, FL 33620
e-mail: arabi@lacis.team
Tansel Yucelen
Department of Mechanical Engineering,
University of South Florida,
Tampa, FL 33620
e-mail: yucelen@lacis.team
University of South Florida,
Tampa, FL 33620
e-mail: yucelen@lacis.team
Wassim M. Haddad
School of Aerospace Engineering,
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: wm.haddad@aerospace.gatech.edu
Georgia Institute of Technology,
Atlanta, GA 30332
e-mail: wm.haddad@aerospace.gatech.edu
1Corresponding author.
Contributed by the Dynamic Systems Division of ASME for publication in the JOURNAL OF DYNAMIC SYSTEMS, MEASUREMENT, AND CONTROL. Manuscript received October 27, 2015; final manuscript received October 15, 2016; published online February 6, 2017. Assoc. Editor: Mazen Farhood.
J. Dyn. Sys., Meas., Control. Apr 2017, 139(4): 041003 (11 pages)
Published Online: February 6, 2017
Article history
Received:
October 27, 2015
Revised:
October 15, 2016
Citation
Arabi, E., Yucelen, T., and Haddad, W. M. (February 6, 2017). "Mitigating the Effects of Sensor Uncertainties in Networked Multi-Agent Systems." ASME. J. Dyn. Sys., Meas., Control. April 2017; 139(4): 041003. https://doi.org/10.1115/1.4035092
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