The particle filtering algorithm was introduced in the 1990s as a numerical solution to the
Bayesian estimation problem for nonlinear and non-Gaussian systems and has been …

The study and application of methods for incorporating nonuniform and delayed information
in state estimation techniques are important topics to advance in soft sensor development …

In this paper we consider the estimation problem for linear stochastic systems affected by
multiple known and time-varying delays on all the output signals. Based on a modification of …

This note studies the LQ and LQG problems for linear time invariant systems with a single
time-varying input delay and instantaneous (memoryless) state feedback. We extend the …

This paper presents the concept of region stability and provides criteria for region stability of
linear time delay systems, which can reveal the dynamic and steady-state performance of …

This article is concerned with the optimal sequential fusion filter design issue for a class of
sampled‐data systems subject to random transmission delays and multiplicative noise. The …

We propose a couple of data-driven analysis methods for the state controllability and state
observability of a class of discrete linear time-invariant (LTI) systems with delays, which have …

This paper is dedicated to the resilient input-to-state stable filter design for nonlinear time-
delay systems subject to external disturbance input. Two types of time delay (ie, time-variant …

This paper investigates the control problem of linear systems affected by an unknown
constant input delay by means of a finite-dimensional state feedback. The proposed solution …

This paper explores a novel model to describe a linear dynamic system with random delays.
Compared with existing studies, the probabilities of random delays in the novel model are …