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Sensor fault estimation of networked vehicle suspension system with deny-of-service attack

机译:网络车辆悬架系统的传感器故障估算拒绝服务攻击

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摘要

This study is concerned with the sensor fault estimation problem for network-based vehicle suspension system with deny-of-service attack, where a linear robust observer is designed. First of all, the attack behaviour switching is modelled as a Markovian jumping process, and then a sufficient condition based on the Markovian jumping system approach is proposed such that the sensor fault estimation error system is asymptotically stable in the mean-square sense with a prescribed $H_infty $H infinity performance level. In this work, the occurring and transition probabilities of the attack are allowed to be partially unknown and uncertain. Finally, a simulation example is presented that validates the effectiveness of design method.
机译:本研究涉及具有易于使用易行攻击的网络的车辆悬架系统的传感器故障估计问题,其中设计了线性鲁棒观察者。首先,攻击行为切换被建模为Markovian跳跃过程,然后提出了一种基于Markovian跳跃系统方法的足够条件,使得传感器故障估计误差系统在具有规定的平均方形的平均方识中渐​​近稳定$ h_ infty $ h无限性性能级别。在这项工作中,允许攻击的发生和过渡概率部分未知,不确定。最后,提出了一种验证设计方法的有效性的模拟示例。

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