Journal article
ADP-based Remote Secure Control for Networked Control Systems under Unknown Nonlinear Attacks in Sensor and Actuator
IEEE transactions on industrial informatics, Vol.18(9), pp.6003-6014
2021
DOI: 10.1109/TII.2021.3137816
Abstract
In this article, we concentrate on a class of networked control systems (NCSs) under the unknown nonlinear attacks, which target the sensors and actuators with remote communication channels. To attenuate the attacks remotely, the remote secure control scheme based on the adaptive dynamic programming (ADP) is proposed. First, the dynamic process of NCSs with nonlinear sensors and actuators attacks is analyzed and an adaptive remote estimator is designed to obtain the state information of the NCSs from a long distance, which is the key to achieve the purpose of remote control. Moreover, to compensate for the unknown nonlinear attacks, the adaptive law of the remote estimator is presented based on recursive least square. Furthermore, we consider the influence of the estimation errors, the minimax control theory is applied to improve the design of the policy iteration algorithm, and the ADP-based remote secure control strategy is proposed to rely on the remote estimation information. Then, the neural networks are built to implement the online algorithm. Finally, results’ analysis illustrates on two networked power systems the effectiveness of the proposed method.
Details
- Title: Subtitle
- ADP-based Remote Secure Control for Networked Control Systems under Unknown Nonlinear Attacks in Sensor and Actuator
- Creators
- Longjie ZhangYong ChenMeng Li
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on industrial informatics, Vol.18(9), pp.6003-6014
- DOI
- 10.1109/TII.2021.3137816
- ISSN
- 1551-3203
- eISSN
- 1941-0050
- Grant note
- DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 61973331; name: Technical Supporting Programs of Sichuan Province, award: 2020YFG0129
- Language
- English
- Date published
- 2021
- Academic Unit
- Industrial and Systems Engineering
- Record Identifier
- 9984203259902771
Metrics
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