Since the proposal of moving horizon (MH) estimation in 1960s, the MH estimation approach
has drawn ever-increasing research interests due mainly to its inherent capability of …

This paper provides an overview of nonlinear state estimation techniques along with a
discussion on the challenges and opportunities for future work in the field. Emphasis is given …

This paper focuses on the state estimator design problem for a switched neural network
(SNN) with probabilistic quantized outputs, where the switching process is governed by a …

This paper addresses the distributed adaptive event-triggered H∞ filtering problem for a
class of sectorbounded nonlinear system over a filtering network with timevarying and …

In this paper, the partial-nodes-based state estimators (PNBSEs) are designed for a class of
uncertain complex networks subject to finite-distributed delays, stochastic disturbances, as …

This work is concerned with the issue of finite-time filter design for a type of Takagi–Sugeno
(T–S) fuzzy Markov switching system (MSSs) with deception attacks (DAs). In view of …

An integrated energy system (IES) that comprises diverse operating units typically exhibits
time-scale multiplicity in its dynamics, which makes the application of predictive control …

This article focuses on the asynchronous output-feedback control design for a class of
nonlinear Markov jump distributed parameter systems based on a hidden Markov model …

This paper addresses the problem of event-based distributed set-membership estimation for
complex networks with unknown but bounded (UBB) disturbances. To reflect the …

This article is concerned with the secure state estimation problem for cyber-physical systems
under intermittent denial-of-service (DoS) attacks. Based on a switching scheme and the …