Robust adaptive estimation and tracking control for perturbed cyber-physical systems against denial of service

Abstract In this work, a new approach to detect sensor and actuator intrusion for Cyber-Physical Systems using a bank of Kalman filters is presented. The case where the unknown type of the intrusion signal is considered first, using two Kalman filters in a bank to provide the conditional state estimates, then the unknown type of intrusion signal can be detected properly via the adaptive estimation algorithm. The case where the target (either sensor or actuator) of the intrusion signal is unknown is also considered, using four Kalman filters in a bank designed to detect if the intrusion signal is about to affect healthy sensor or actuator signal. To test these methods, a DC motor speed control system subject to attack by different types of sensor and actuator signals is simulated. Simulations show that different types of sensor and actuator intrusion signals can be detected properly without the knowledge of the nature and the type of these signals.

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Resilient filtering for cyber‐physical systems under denial‐of‐service attacks

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.4845 ◽

2019 ◽

Vol 30 (5) ◽

pp. 1754-1769 ◽

Cited By ~ 2

Author(s):

Renjie Ma ◽

Peng Shi ◽

Zhenhuan Wang ◽

Ligang Wu

Keyword(s):

Denial Of Service ◽

Cyber Physical Systems ◽

Denial Of Service Attacks ◽

Physical Systems

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A Leader-Follower Set-theoretic Approach for Cyber-Physical Systems against Denial-of-Service Attacks

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT) ◽

10.1109/codit.2019.8820360 ◽

2019 ◽

Author(s):

Giuseppe Franze ◽

Walter Lucia ◽

Francesco Tedesco

Keyword(s):

Denial Of Service ◽

Cyber Physical Systems ◽

Denial Of Service Attacks ◽

Theoretic Approach ◽

Physical Systems

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Resilient control of cyber-physical systems against Denial-of-Service attacks

2013 6th International Symposium on Resilient Control Systems (ISRCS) ◽

10.1109/isrcs.2013.6623750 ◽

2013 ◽

Cited By ~ 38

Author(s):

Yuan Yuan ◽

Quanyan Zhu ◽

Fuchun Sun ◽

Qinyi Wang ◽

Tamer Basar

Keyword(s):

Denial Of Service ◽

Cyber Physical Systems ◽

Denial Of Service Attacks ◽

Resilient Control ◽

Physical Systems

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Adaptive state estimation for cyber physical systems under sparse attacks

Transactions of the Institute of Measurement and Control ◽

10.1177/0142331217730123 ◽

2018 ◽

Vol 41 (6) ◽

pp. 1571-1579 ◽

Cited By ~ 2

Author(s):

Hao Zhang ◽

Chen Peng ◽

Hongtao Sun ◽

Dajun Du

Keyword(s):

State Estimation ◽

Adaptive Estimation ◽

Computing Time ◽

Estimation Method ◽

Cyber Physical Systems ◽

Estimation Problem ◽

Step Size ◽

Estimation Errors ◽

Physical Systems ◽

Dynamic Estimation

This paper investigates the state estimation problem for cyber physical systems under sparse attacks. Firstly, the fundamental state estimation problem is transferred to an optimization problem with a unique solution. Secondly, an adaptive estimation method for sparse attacks is proposed, which convergence property is well proved. The advantage of proposed method is that the step-size can be adaptively adjusted based on the dynamic estimation errors. Therefore, the computing time is less than some existing methods while guaranteeing the desired performance. Then, a suitable state feedback is designed to improve the computing speed while enhancing the resiliency for the destroyed system. Finally, the speed performance and accuracy of proposed algorithm are verified by two numerical examples.

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