Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks. (December 2020)

• Record Type: Journal Article
• Authors: Meng, Min; Xiao, Gaoxi; Li, Beibei
• Is Part Of: Automatica. Volume 122(2020)
• Publication Date: 2020-12
• Subjects: Adaptive consensus -- Heterogeneous multi-agent systems -- Sensor and actuator attacks -- Uniform ultimate boundedness; Automatic control -- Periodicals; Automation -- Periodicals; 629.805
• DOI: 10.1016/j.automatica.2020.109242
• Languages: English
• ISSNs: 0005-1098

Abstract

Abstract: This study investigates the leader-following consensus problem for heterogeneous multi-agent systems subject to both sensor and actuator attacks. The attacks considered in this paper are false data injection attacks. A novel adaptive controller is proposed to guarantee that the consensus tracking is achieved with cooperative uniform ultimate boundedness for the multi-agent systems in the simultaneous presence of sensor and actuator attacks. As the whole state information is unknown, the adaptive dynamics are designed on the basis of the received compromised/uncompromised output information. Simulations are carried out to demonstrate the effectiveness of the obtained results.