A mechanistic fault detection and isolation approach using Kalman filter to improve the security of cyber physical systems

Palleti, Venkata Reddy; Tan, Yu Chong; Samavedham, Lakshminarayanan

doi:10.1016/j.jprocont.2018.05.005

Cited by 30 publications

(14 citation statements)

References 16 publications

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“…are solutions of (16). Now, based on (16), and under the assumption of f sj (t) ≡ 0, the augmented descriptor system (15) can be transformed into {̇z j (t) =  ej z j (t) + u (t) + Φ (x, t) +  (t) + ̇y (t) y (t) =  ej z j (t) .…”

Section: Sensor Attack Isolationmentioning

confidence: 99%

“…By solving the matrix equation (18), we have appropriate parameter , ,  for observer (19). We assume that the sensor attacks to subsystems 2 and 4 occur in time periods of (5,8) and (13,16), respectively, and subsystems 1 and 3 are without sensor attack. That is we assume that f s 1…”

Section: Sensor Attack Isolationmentioning

confidence: 99%

“…A distributed multiagent scheme of detecting and identifying cyber threats for a power grid system is presented . Palleti et al explored the subject of the online detections of cyber‐attacks by using conventional Kalman filter and cumulative sum test fault detection and isolation (FDI) methods. Huang et al concerned with reliable control problems of cyber‐physical systems against a class of frequency constrained sensor and actuator attacks.…”

Section: Introductionmentioning

confidence: 99%

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Sensor attack detection and isolation based on sliding mode observer for cyber‐physical systems

Zhu

Zhang

2020

Adaptive Control & Signal

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Summary This article investigates the sensor attack detection and isolation problems for cyber‐physical systems under attacked situation. To begin with, an overall system is constructed for the network of dynamic system and all the issues are dealt with for the overall system instead of every subsystem. Then, we prove that the preconditions which are made on the original subsystem can be transferred on to the overall system. After this, for the overall system, a sliding mode observer that is robust to the disturbance but sensitive to the sensor attack is designed as sensor attack detector to issue an alarm when at least one subsystem is attacked. In addition, we cope with the sensor fault isolation problem by building an augmented descriptor system for the overall system and we further prove that the precondition can be kept for the augmented descriptor system. Then, another robust sliding mode observer is designed to reach the goal of attack isolation. Finally, a simulation example is given to verify the effectiveness of the proposed methods.

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Section: Sensor Attack Isolationmentioning

confidence: 99%

Section: Sensor Attack Isolationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Sensor attack detection and isolation based on sliding mode observer for cyber‐physical systems

Zhu

Zhang

2020

Adaptive Control & Signal

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“…CPSs have high requirements on security, reliability and real-time performance, which makes this kind of systems face great challenges in practical application. The research on CPSs has been a hot topic in the field of control, such as construction of dynamic system model [6], stability analysis [7], [8], fault detection and diagnosis [9], [10], attack detection and identification [11], [12], secure state estimation [13]- [17] and security control [18]- [21]. Among them, the research on the security of CPSs has set off a great upsurge.…”

Section: Introductionmentioning

confidence: 99%

Observer Design for Cyber-Physical Systems With State Delay and Sparse Sensor Attacks

Zhang

Lin

et al. 2021

IEEE Access

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“…The filtering problem of dynamic systems has received extensive attention since the famous Kalman filter was firstly presented around the 1960s, due to its successful applications in a large variety of practical engineering including automatic control, 1,2 navigation, 3,4 target tracking, 5‐7 fault detection and diagnosis, 8,9 statistical signal processing 10,11 and so on. For linear systems with white Gaussian noises, Kalman filter is optimal in the framework of recursive Bayesian filtering, which is derived under the minimum mean square error criterion 4,6 .…”

Section: Introductionmentioning

confidence: 99%

Finite‐time distributed block‐decomposed information filter for nonlinear systems with colored measurement noise

Yang

Qin

Yong

et al. 2021

Intl J Robust & Nonlinear

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This paper considers the distributed filtering problem for discrete‐time nonlinear systems with colored measurement noise obeying a nonlinear autoregressive process in sensor networks. A novel block‐decomposed information‐type filter for such systems is proposed in a centralized fusion structure, by using the statistical linear regression to deal with model nonlinearities and the measurement difference approach to overcome the noise correlation caused by colored measurement noises. Meanwhile, with the help of block matrix inverse operation to realize the high‐dimensional block matrix decomposition, the information vector and information matrix of the original system state in the designed information filter is directly estimated recursively, so as to own good numerical stability. Then, the finite‐time distributed implementation of the proposed filter is put forward, where the final filtering estimate in each sensor node is consistent with the centralized filtering result, by ensuring that each sensor node directly obtains the average values of shared variables in the sensor network through finite iterations of average consensus. Finally, the posterior Cramér–Rao lower bound is derived to show the proposed filter reaches the optimal theoretical performance bound in the premise of statistical linear regression and Gaussian posterior probability density approximation. A target tracking example with colored measurement noise obeying a linear and a nonlinear autoregressive processes validates the proposed method.

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A mechanistic fault detection and isolation approach using Kalman filter to improve the security of cyber physical systems

Cited by 30 publications

References 16 publications

Sensor attack detection and isolation based on sliding mode observer for cyber‐physical systems

Sensor attack detection and isolation based on sliding mode observer for cyber‐physical systems

Observer Design for Cyber-Physical Systems With State Delay and Sparse Sensor Attacks

Finite‐time distributed block‐decomposed information filter for nonlinear systems with colored measurement noise

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