In this paper, the problem of non-fragile cubature Kalman filtering is addressed for nonlinear
systems with stochastic uncertainties under innovation-based weighted try-once-discard …

In the past few decades, both theoretical developments and practical applications of the two-
dimensional (2-D) systems have received considerable research interest due to their clear …

In this paper, some recent results on the distributed filtering, estimation and fusion
algorithms for nonlinear systems with communication constraints are reviewed. First, some …

In this paper, the partial-neurons-based state estimation problem is studied for a class of
delayed neural networks with state-dependent noises under redundant channels. For the …

This paper investigates the simultaneous state and noise covariance estimation for linear
systems with inaccurate noise statistics. An enhanced adaptive Kalman filtering (EAKF) …

Induction machines have become the standard for highly demanding industrial applications.
This has led to the utilization of modern discrete-time control techniques (such as model …

This paper investigates the noise covariance estimation problem for the networked linear
system under communication protocol. To reduce network burden and avoid data collisions …

This article is concerned with the consensus‐based distributed filtering problem for a class
of general nonlinear systems over sensor networks with communication protocols. In order …

This article proposes a set-membership state estimation issue for unmanned surface vehicle
(USV) steering motion under wireless sensor networks with try-once-discard (TOD) …

In this paper, a new resilient filtering problem is studied for a class of nonlinear stochastic
systems with packet disorders. The underlying system is quite comprehensive that considers …