scholarly journals An Event-Triggered Fault Detection Approach in Cyber-Physical Systems with Sensor Nonlinearities and Deception Attacks

Electronics ◽  
2018 ◽  
Vol 7 (9) ◽  
pp. 168 ◽  
Author(s):  
Yunji Li ◽  
Xu Liu ◽  
Li Peng
Keyword(s):  
Fault Detection ◽  
Cyber Physical Systems ◽  
Battery Life ◽  
Physical Systems ◽  
Weighting Matrix ◽  
Detection Approach ◽  
Evaluation Module ◽  
Residual Generation ◽  
Event Triggered ◽  
Stochastic Lyapunov Function

In this paper, a general event-triggered framework is constructed to investigate the problem of remote fault detection for stochastic cyber-physical systems subject to the additive disturbances, sensor nonlinearities and deception attacks. Both fault-detection residual generation and evaluation module are fully described. Two energy norm indices are presented so that the fault-detection residual has the best sensitivity to faults and the best robustness to unwanted factors including additive disturbances and false information injected by attacker. Moreover, the filter gain and residual weighting matrix are formulated in terms of stochastic Lyapunov function, which can be conveniently solved via standard numerical software. Finally, an application example is presented to verify the performance of fault detection by comparative simulations. The prolonged battery life is experimentally evaluated and analyzed via a wireless node platform.

scholarly journals Nonfragile Integral-Based Event-Triggered Control of Uncertain Cyber-Physical Systems under Cyber‐Attacks

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Shen Yan ◽  
Sing Kiong Nguang ◽  
Liruo Zhang
Keyword(s):  
Sufficient Conditions ◽  
Cyber Physical Systems ◽  
Cyber Attacks ◽  
Linear Matrix ◽  
Time Interval ◽  
System State ◽  
Network Resources ◽  
Physical Systems ◽  
Mean Square Stability ◽  
Event Triggered

This article studies the problem of nonfragile integral-based event-triggered control for uncertain cyber-physical systems under cyber-attacks. An integral-based event-triggered scheme is proposed to reduce the data transmissions and save the limited network resources. The triggering condition is related to the mean of system state over a finite time interval instead of instant system state. Random cyber-attacks in a communication channel are taken into account and described by a stochastic variable subject to Bernoulli distribution. A novel Lyapunov–Krasovskii functional based on Legendre polynomials is constructed, and the Bessel–Legendre inequality technique is employed to handle the integral term induced by the integral-based event-triggered scheme. Resorting to these treatments, sufficient conditions are established via a set of linear matrix inequalities to guarantee the asymptotic mean-square stability of the closed-loop system. Finally, a numerical example shows that the presented method is effective.

scholarly journals State Estimation and Event-Triggered Control for Cyber-Physical Systems under Malicious Attack

2019 ◽  
Vol 2019 ◽  
pp. 1-10
Author(s):  
Yongzhen Guo ◽  
Baijing Han ◽  
Weiping Wang ◽  
Manman Yuan
Keyword(s):  
State Estimation ◽  
Finite Time ◽  
Cyber Physical Systems ◽  
The State ◽  
State Information ◽  
Physical Systems ◽  
Malicious Attack ◽  
Event Triggered

This paper is concerned with the security state estimation and event-triggered control of cyber-physical systems (CPSs) under malicious attack. Aiming at this problem, a finite-time observer is designed to estimate the state of the system successfully. Then, according to the state information, the event-triggered controller is designed through the event-triggered communication. It is proved that the system is uniformly and finally bounded. Finally, the effectiveness of the proposed method is verified by a simulation example.

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