Resilient Control-Based Fault Estimation for Networked Control Systems with Jumping Parameters and Deception Attacks

This paper studies a resilient control-based fault estimation problem for a class of networked control systems subject to jumping parameters and deception attacks. In particular, a fault estimator is developed under an observer-based framework to estimate the faults and system states concurrently, a...

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Bibliographic Details
Published in:Circuits, systems, and signal processing systems, and signal processing, 2022-11, Vol.41 (11), p.5990-6006
Main Authors: Sakthivel, R., Divya, H., Karthick, S. A., Kong, F.
Format: Article
Language:English
Subjects:
Applied mathematics
Circuits and Systems
Control systems
Control theory
Cybersecurity
Deception
Electrical Engineering
Electronics and Microelectronics
Embedded systems
Engineering
High alpha research vehicle
Instrumentation
Linear matrix inequalities
Network control
Network security
Parameters
Signal processing
Signal,Image and Speech Processing
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Summary:This paper studies a resilient control-based fault estimation problem for a class of networked control systems subject to jumping parameters and deception attacks. In particular, a fault estimator is developed under an observer-based framework to estimate the faults and system states concurrently, and procure better estimation accuracy. Next, the closed-loop error system is constructed with major factors like gain fluctuations and cyber attacks that may damage the network security. In accordance with the Lyapunov stability approach, a set of adequate criteria in the configuration of linear matrix inequalities is derived to confirm the stochastic boundedness of the resulting system. Further, the considered resilient controller and the observer gain matrices are calculated from the established linear matrix inequality constraints. The validity of the developed schemes and performance of the obtained results is consummated through two numerical examples, which include a high alpha research vehicle model.
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-022-02079-3