Adaptive event-triggered state estimation for large-scale systems subject to deception attacks

• Published in: Science China. Information sciences Vol. 65; no. 2; p. 122207
• Main Authors: Xiao, Hanchen, Ding, Derui, Dong, Hongli, Wei, Guoliang
• Format: Journal Article
• Language: English
• Published: Beijing Science China Press 01.02.2022; Springer Nature B.V
• Subjects: Communication; Computer Science; Data transmission; Deception; Design; Dynamic stability; Errors; Estimators; Information Systems and Communication Service; Parameter estimation; Protocol; Research Paper; Science; Sensors; Stability analysis; State estimation; Subsystems; System effectiveness; Topology; adaptive event-triggering communication; deception attacks; power systems; input-to-state stability; large-scale discrete-time systems
• ISSN: 1674-733X; 1869-1919
• DOI: 10.1007/s11432-020-3142-5

This paper addresses state estimation issues of large-scale systems with measurements subject to deception attacks, where the communication topology among sub-estimators is the same as the physical coupling structure of the subsystems. In consideration of the limited channel bandwidth, a novel adaptive event-triggered scheme is proposed for governing the data transmission among sub-estimators. With the help of Lyapunov analysis approaches, sufficient conditions are derived to ensure the input-to-state stability of the dynamics of estimation errors. Meanwhile, the bound of the estimation errors is obtained in the mean-square sense. The desired estimator parameters are presented in an analytical form dependent on the solution of a set of matrix inequalities. The developed scheme is related to the local information of the subsystems and thus satisfies the requirement of scalability. Finally, a simulation example of power systems is given to reveal the usefulness and effectiveness of the developed design scheme.