期刊
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
卷 16, 期 9, 页码 5806-5813出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TII.2019.2960616
关键词
Actuator attack; cyber-physical systems (CPSs); data-driven; mixed optimization
类别
资金
- Funds of the National Natural Science Foundation of China [61873050]
- Fundamental Research Funds for the Central Universities [N180405022]
- Research Fund of State Key Laboratory of Synthetical Automation for Process Industries [2018ZCX14]
This article is concerned with the data-driven attack detection problem for cyber-physical systems with the actuator attacks and measurement noise. In most of existing data-driven detection methods, H-infinity index is used to characterize the sensitivity performance. It is well-known that compared with the H-infinity index, H-index can significantly improve the diagnostic performance. However, the detection system design based on the H-/H-infinity mixed optimization technique has not been solved within the datadriven framework. In this article, a residual generator is constructed from the available input-output (I/O) data. H-infinity and H- indices are defined from the viewpoint of time-domain to characterize the robustness of residual generator against measurement noise and sensitivity to attack signals, respectively. In particular, a novel weighting system, which is expressed as an I/O model, is designed to transform the H-performance into an constraint, and the detection system design problem based on H-/H-infinity mixed optimization technique is finally formulated into a constraint-type optimization one, which can be solved by the classical Lagrange multiplier method. Also, the proposed detection method is applied to a networked dc servo motor system to verify its advantages and effectiveness.
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