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 addresses the problem of state estimation for discrete-time linear systems, based
on measurements provided by an output binary sensor. The problem is formulated and …

Binary sensors compress the measurement information into two possible values as output
and have found applications in many fields such as medical monitoring, environment …

Photovoltaic (PV) distributed generators (DGs) are inherently stochastic and have low inertia
owing to their weather dependence and connection to an inverter. Frequency regulation …

This article deals with the distributed-consensus estimation problem for a class of discrete
time-varying random parameter systems over binary sensor networks, where the statistical …

This article is concerned with the Kalman-like filtering (KLF) problem for linear and nonlinear
dynamic systems observed by binary sensors. Binary sensors are a special class of sensors …

In this work, we consider the monitoring of the absorption column of a typical post‐
combustion capture plant within a distributed framework. The column is decomposed into a …

In this article, the zonotopic distributed fusion estimation problem is investigated for a class
of general nonlinear systems over binary sensor networks subject to unknown-but-bounded …

This paper is concerned with the distributed filtering problem for a class of discrete time-
varying stochastic systems over binary sensor networks with the Rayleigh fading channels …

This article is concerned with the distributed set-membership estimation problem for a class
of discrete time-varying systems over binary sensor networks. For the binary sensors, the …