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∞ 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.

中文翻译：

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拒绝服务攻击的网络车辆悬架系统传感器故障估计

这项研究涉及具有拒绝服务攻击的基于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测器。首先，将攻击行为切换建模为马尔可夫跳跃过程，然后提出基于马尔可夫跳跃系统方法的充分条件，使得传感器故障估计误差系统在均方意义上具有规定的渐近稳定$ H_ \ infty $H∞性能水平。在这项工作中，攻击的发生和转移概率被允许部分未知和不确定。最后，给出了一个仿真实例，验证了设计方法的有效性。