Intermittent Estimator-Based Mixed Passive and H∞ Control for High-Speed Train With Actuator Stochastic Fault

This article is concerned with the intermittent estimator-based mixed passive and
$\mathscr {H}_{\infty }$
control for the high-speed train (HST) with multiple noises, actuator stochastic fault, and sensor packet loss. First, an intermittent estimator is designed to track the undetectable status of HSTs in response to only partial information available due to sensor failures. Then, two different stability criteria are developed by adopting two different Lyapunov function strategies. Simultaneously, in order to reduce the control cost and accelerate the convergence time, two different algorithms are designed. It is worth emphasizing that different from the existing results of HST subject to actuator fault, this article adopts a more flexible fault representation mode, namely, semi-Markov switching mode, which is more in line with the practical background and has a higher valuable application. Especially, the Lyapunov function designed in this article can drive the system state to decrease monotonically in both the “working interval” and the “rest interval,” so as to avoid the phenomenon of state impulsive jump. Finally, through the test of HST experimental value of Japan’s Shinkansen, the simulation results show the effectiveness and rationality of the proposed control method and also make a comparative analysis with related works, to prove the advantages of the control technology proposed in this article.