An integral sliding mode observer for CPS cyber security attack detection

2019 ◽  
Vol 29 (4) ◽  
pp. 043120 ◽  
Author(s):  
Mi Lv ◽  
Wenwu Yu ◽  
Yuezu Lv ◽  
Jinde Cao ◽  
Wei Huang
Keyword(s):  
Cyber Security ◽  
Sliding Mode ◽  
Attack Detection ◽  
Sliding Mode Observer ◽  
Integral Sliding Mode ◽  
Security Attack

Robust Fault Identification of Turbofan Engines Sensors Based on Fractional-Order Integral Sliding Mode Observer

2019 ◽  
Vol 0 (0) ◽  
Author(s):  
Xiaocong He ◽  
Lingfei Xiao
Keyword(s):  
Fractional Order ◽  
Sliding Mode ◽  
Sliding Mode Observer ◽  
Fault Identification ◽  
Integral Sliding Mode ◽  
Turbofan Engines ◽  
System A ◽  
Fault Reconstruction ◽  
Integral Sliding Surface ◽  
Fractional Order Integral

Abstract This paper presents a robust fault identification scheme based on fractional-order integral sliding mode observer (FOISMO) for turbofan engine sensors with uncertainties. The equilibrium manifold expansion (EME) model is introduced due to its simplicity and accuracy for nonlinear system. A fractional-order integral sliding mode observer is designed to reconstruct faults on sensors, in which the fractional-order integral sliding surface guarantees the fast convergence of reconstruction. The observer parameters is selected according to L2 gain theory in order to minimize the effect of uncertainties on the fault reconstruction signal. Simulations in Matlab/Simulink show high reconstruction accuracy of the proposed method despite the present of uncertainties.

Optimized cyber-attack detection method of power systems using sliding mode observer

2022 ◽  
Vol 205 ◽  
pp. 107745
Author(s):  
Mahdieh Adeli ◽  
Majid Hajatipour ◽  
Mohammad Javad Yazdanpanah ◽  
Hamed Hashemi-Dezaki ◽  
Mohsen Shafieirad
Keyword(s):  
Power Systems ◽  
Detection Method ◽  
Sliding Mode ◽  
Attack Detection ◽  
Sliding Mode Observer ◽  
Cyber Attack
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