Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks
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...
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sg-ntu-dr.10356-1521442021-09-13T08:05:30Z Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks Meng, Min Xiao, Gaoxi Li, Beibei School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Adaptive Consensus Heterogeneous Multi-agent Systems 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. Ministry of Education (MOE) The work was partially supported by Ministry of Education, Singapore, under contract of MOE2016-T2-1-119, the China Postdoctoral Science Foundation (No. 2019TQ0217); the Provincial Key Research and Development Program of Sichuan, PR China (No. 20ZDYF3145). 2021-09-13T08:05:30Z 2021-09-13T08:05:30Z 2020 Journal Article Meng, M., Xiao, G. & Li, B. (2020). Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks. Automatica, 122, 109242-. https://dx.doi.org/10.1016/j.automatica.2020.109242 0005-1098 https://hdl.handle.net/10356/152144 10.1016/j.automatica.2020.109242 2-s2.0-85091033082 122 109242 en MOE2016-T2-1-119 Automatica © 2020 Elsevier Ltd. All rights reserved. |
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Engineering::Electrical and electronic engineering Adaptive Consensus Heterogeneous Multi-agent Systems Meng, Min Xiao, Gaoxi Li, Beibei Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
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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. |
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School of Electrical and Electronic Engineering |
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School of Electrical and Electronic Engineering Meng, Min Xiao, Gaoxi Li, Beibei |
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Article |
author |
Meng, Min Xiao, Gaoxi Li, Beibei |
author_sort |
Meng, Min |
title |
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
title_short |
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
title_full |
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
title_fullStr |
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
title_full_unstemmed |
Adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
title_sort |
adaptive consensus for heterogeneous multi-agent systems under sensor and actuator attacks |
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2021 |
url |
https://hdl.handle.net/10356/152144 |
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1712300643704635392 |