Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks

Xu Jin; Wassim M. Haddad

doi:10.1109/CDC.2018.8618699

Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks

Xu Jin, Wassim M. Haddad

Mechanical and Aerospace Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

In this paper, we develop a distributed robust adaptive control architecture for addressing networked multiagent systems subject to agent model uncertainty, exogenous stochastic disturbances, and compromised sensor and actuators. Specifically, for a class of linear leader-follower multiagent uncertain systems, we develop a robust adaptive control design protocol for each follower. The proposed adaptive controller guarantees uniform ultimate boundedness of the state tracking error for each agent in a mean-square sense.

Original language	English
Title of host publication	2018 IEEE Conference on Decision and Control, CDC 2018
Pages	1397-1402
Number of pages	6
ISBN (Electronic)	9781538613955
DOIs	https://doi.org/10.1109/CDC.2018.8618699
State	Published - Jul 2 2018
Event	57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States Duration: Dec 17 2018 → Dec 19 2018

Publication series

Name	Proceedings of the IEEE Conference on Decision and Control
Volume	2018-December
ISSN (Print)	0743-1546
ISSN (Electronic)	2576-2370

Conference

Conference	57th IEEE Conference on Decision and Control, CDC 2018
Country/Territory	United States
City	Miami
Period	12/17/18 → 12/19/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Funding

This work was supported in part by the Air Force Office of Scientific Research under Grant FA9550-16-1-0100.

Funders	Funder number
Air Force Office of Scientific Research, United States Air Force	FA9550-16-1-0100

ASJC Scopus subject areas

Control and Systems Engineering
Modeling and Simulation
Control and Optimization

Access to Document

10.1109/CDC.2018.8618699

Cite this

Jin, X., & Haddad, W. M. (2018). Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks. In 2018 IEEE Conference on Decision and Control, CDC 2018 (pp. 1397-1402). Article 8618699 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December). https://doi.org/10.1109/CDC.2018.8618699

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abstract = "In this paper, we develop a distributed robust adaptive control architecture for addressing networked multiagent systems subject to agent model uncertainty, exogenous stochastic disturbances, and compromised sensor and actuators. Specifically, for a class of linear leader-follower multiagent uncertain systems, we develop a robust adaptive control design protocol for each follower. The proposed adaptive controller guarantees uniform ultimate boundedness of the state tracking error for each agent in a mean-square sense.",

author = "Xu Jin and Haddad, {Wassim M.}",

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year = "2018",

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Jin, X & Haddad, WM 2018, Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks. in 2018 IEEE Conference on Decision and Control, CDC 2018., 8618699, Proceedings of the IEEE Conference on Decision and Control, vol. 2018-December, pp. 1397-1402, 57th IEEE Conference on Decision and Control, CDC 2018, Miami, United States, 12/17/18. https://doi.org/10.1109/CDC.2018.8618699

Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks. / Jin, Xu; Haddad, Wassim M.
2018 IEEE Conference on Decision and Control, CDC 2018. 2018. p. 1397-1402 8618699 (Proceedings of the IEEE Conference on Decision and Control; Vol. 2018-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks

Abstract

Publication series

Conference

Bibliographical note

Funding

ASJC Scopus subject areas

Access to Document

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