Security Data-Driven Control for Nonlinear Systems Subject to Deception and False Data Injection Attacks

• Published in: IEEE transactions on network science and engineering Vol. 9; no. 4; pp. 2910 - 2921
• Main Authors: Yu, Wei, Bu, Xuhui, Hou, Zhongsheng
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.07.2022; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Adaptive control; Analytical models; Channels; Control systems design; Data-driven control; deception attacks; Fading; Fading channels; false data injection attacks; Frequency control; Mathematical models; Nonlinear control; Nonlinear systems; Normal distribution; Numerical stability; Power system stability; Security; security control; Stability analysis; Systems stability; White noise; Wireless sensor networks
• ISSN: 2327-4697; 2334-329X
• DOI: 10.1109/TNSE.2022.3173310

This paper studies the security data-driven control problem for a class of nonlinear systems with completely unknown dynamics under the deception attacks (DA) and false data injection attacks (FDIA) via faded channels. Firstly, the fading phenomenon is formulated by the Rice fading model, which obeys the Gaussian distribution with a known mathematical expectation and variance. DA could invert the direction of I/O data and FDIA may result in false injection data with zero-mean Gaussian white noise. Then, by employing the compact form dynamic linearization method, the security model free adaptive controller (MFAC) is designed, which does not involve the model or structure information of the system. Next, the system stability is analyzed, and the compensation scheme with an increasing gain is proposed to counteract the adverse effect brought by faded channels. A numerical simulation and a load frequency control (LFC) example for multi-area power systems illustrate the validity of the proposed schemes.