Simultaneous State and False-Data Injection Attacks Reconstruction for NonLinear Systems: an LPV Approach

Souad Bezzaoucha Rebai, H. Voos
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Abstract

The present contribution addresses simultaneous state and actuator/sensor false-data injection attacks reconstruction for nonlinear systems. The considered actuator/sensor attacks are modeled as time-varying parameters with a multiplicative effect on the actuator input signal and the sensor output signal, respectively. Based on the sector non-linearity approach and the convex polytopic transformation, the nonlinear model is written in a Linear Parameter-Varying (LPV) form, then an observer allowing both state and attack reconstruction is designed by solving an LMI optimization problem.
非线性系统的同步状态和假数据注入攻击重构:一种LPV方法
目前的贡献解决了非线性系统的同步状态和执行器/传感器假数据注入攻击重建。所考虑的致动器/传感器攻击被建模为时变参数,分别对致动器输入信号和传感器输出信号产生乘法效应。基于扇形非线性方法和凸多边形变换,将非线性模型写为线性变参(LPV)形式,然后通过求解LMI优化问题,设计了允许状态和攻击重构的观测器。
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