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

Xu Jin, Wassim M. Haddad

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 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 languageEnglish
Title of host publication2018 IEEE Conference on Decision and Control, CDC 2018
Pages1397-1402
Number of pages6
ISBN (Electronic)9781538613955
DOIs
StatePublished - Jul 2 2018
Event57th IEEE Conference on Decision and Control, CDC 2018 - Miami, United States
Duration: Dec 17 2018Dec 19 2018

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume2018-December
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference57th IEEE Conference on Decision and Control, CDC 2018
Country/TerritoryUnited States
CityMiami
Period12/17/1812/19/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

Fingerprint

Dive into the research topics of 'Robust Adaptive Control for Leader-Follower Multiagent Systems with Stochastic Disturbances, System Uncertainty, and Sensor-Actuator Attacks'. Together they form a unique fingerprint.

Cite this