TY - GEN
T1 - Consensus control for nonlinear multi-agent systems subject to deception attacks
AU - Ma, Lifeng
AU - Wang, Zidong
AU - Yuan, Yuan
N1 - Publisher Copyright:
© 2016 Chinese Automation and Computing Society.
PY - 2016/10/20
Y1 - 2016/10/20
N2 - This paper deals with the consensus control problem for a class of discrete time-varying stochastic multi-agent systems with stochastic nonlinearities and deception attacks. A novel definition of quasi-consensus is proposed to reflect the consensus process where, at each time instant, all the agents are constrained to stay within a certain ellipsoidal region. The measurement output available for the controller is not only from the individual agent itself but also from its neighboring ones according to the given topology. A new deception attack model is proposed, where the attack signals are injected by the adversary to the measurement data during the process of information transmission via the communication network. By using a set of recursive matrix inequalities, sufficient conditions are derived for the existence of the desired control scheme for achieving the quasi-consensus. Subsequently, an optimization problem is formulated to seek the locally best consensus performance.
AB - This paper deals with the consensus control problem for a class of discrete time-varying stochastic multi-agent systems with stochastic nonlinearities and deception attacks. A novel definition of quasi-consensus is proposed to reflect the consensus process where, at each time instant, all the agents are constrained to stay within a certain ellipsoidal region. The measurement output available for the controller is not only from the individual agent itself but also from its neighboring ones according to the given topology. A new deception attack model is proposed, where the attack signals are injected by the adversary to the measurement data during the process of information transmission via the communication network. By using a set of recursive matrix inequalities, sufficient conditions are derived for the existence of the desired control scheme for achieving the quasi-consensus. Subsequently, an optimization problem is formulated to seek the locally best consensus performance.
KW - deception attacks
KW - quasi-consensus control
KW - recursive matrix inequalities
KW - Time-varying multi-agent systems
UR - http://www.scopus.com/inward/record.url?scp=84998880945&partnerID=8YFLogxK
U2 - 10.1109/IConAC.2016.7604888
DO - 10.1109/IConAC.2016.7604888
M3 - 会议稿件
AN - SCOPUS:84998880945
T3 - 2016 22nd International Conference on Automation and Computing, ICAC 2016: Tackling the New Challenges in Automation and Computing
SP - 21
EP - 26
BT - 2016 22nd International Conference on Automation and Computing, ICAC 2016
A2 - Wang, Jing
A2 - Xu, Zhijie
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 22nd International Conference on Automation and Computing, ICAC 2016
Y2 - 7 September 2016 through 8 September 2016
ER -