This paper considers the identification problem of the ARMA system followed by a binary
sensor, in which the internal variables are corrupted by additive ARMA noises. Recursive …

In this paper, the problem of identifying autoregressive-moving-average systems under random
threshold binary-valued output measurements is considered. With the help of stochastic …

With the development of high-speed rail transportation, the automatic train operation (ATO)
of high-speed trains (HSTs) has attracted considerable attention in the fields of both …

Trajectory tracking problems related to high-speed trains (HSTs) are fundamental issues
that affect the operation safety and ride comfort. This study proposes a distributed learning …

The learning control strategy is studied for networked stochastic systems, where the output
and input data are transmitted through multiple independent fading channels. The traditional …

Treating the multi-point-mass dynamic model of high-speed trains as an interconnected
system, this study proposes a decentralized iterative learning control scheme for high-speed …

This article studies the point-to-point (P2P) learning and tracking problem for networked
stochastic systems with fading communications by iterative learning control. The P2P tracking …

Le Stagonospora nodorum est un agent pathogène qui cause la moucheture sur les feuilles
et la tache des glumes, deux maladies importantes chez les céréales. La résistance chez le …

This study investigated the gain-adaptation mechanism of decentralized learning control for
large-scale interconnected systems subject to measurement noise. The control objective is …

This paper considers identification of Wiener systems for which the internal variables and
output are corrupted by noises. When the internal noise is a sequence of independent and …