An adaptive control architecture for leader–follower multiagent systems with stochastic disturbances and sensor and actuator attacks

Xu Jin, Wassim M. Haddad

Research output: Contribution to journalArticlepeer-review

32 Scopus citations

Abstract

In this paper, we develop a novel distributed adaptive control architecture for addressing networked multiagent systems subject to stochastic exogenous disturbances with compromised sensor and actuators. Specifically, for a class of linear leader–follower multiagent systems, we develop a new structure of the neighbourhood synchronisation error for the control design protocol of each follower. The proposed control algorithm addresses time-varying multiplicative sensor attacks on the leader state measurements. In addition, the framework addresses time-varying multiplicative actuator attacks on the followers that do not have a communication link with the leader and additive actuator attacks on all follower agents in the network. The proposed adaptive controller guarantees uniform ultimate boundedness of the state tracking error for each agent in a mean-square sense.

Original languageEnglish
Pages (from-to)2561-2570
Number of pages10
JournalInternational Journal of Control
Volume92
Issue number11
DOIs
StatePublished - 2019

Bibliographical note

Funding Information:
This work was supported in part by the Air Force Office of Scientific Research [grant number FA9550-16-1-0100].

Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.

Keywords

  • Networked multiagent systems
  • actuator attacks
  • adaptive control
  • distributed control
  • sensor attacks
  • stochastic disturbances
  • uniform ultimate boundedness

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science Applications

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