Affiliation:
1. School of Automation and Electrical Engineering University of Science and Technology Beijing Beijing China
2. Key Laboratory of Knowledge Automation for Industrial Processes Ministry of Education Beijing China
Abstract
SummaryIn this paper, we discuss the security control problem of cyber physical systems based on identifying false data injection attacks. First, the unknown adversary randomly attacks the measurement output, a mechanism is set in the sensor to update the measurement output to the constant, called the one‐valued quantized mechanism. Then, the Bienayme–Chebyshev inequality and the one‐valued quantized mechanism are utilized to design an identification algorithm, the estimated value of the false data injection attack and the minimum identification time can be obtained. Furthermore, based on the LMI theory, sampled‐data control gains with and without attacks are obtained to ensure the system mean‐square exponential stable, respectively. And the corresponding maximum sampling period of the controller is obtained. Finally, numerical examples verify the correctness and effectiveness of the theory.
Funder
Beijing Municipal Natural Science Foundation
National Natural Science Foundation of China
Subject
Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering
Cited by
2 articles.
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