This paper is concerned with the moving horizon (MH) estimation issue for a type of
networked nonlinear systems (NNSs) with the so-called random access (RA) protocol …

Develops a framework for state-space estimation when the parameters of the underlying
linear model are subject to uncertainties. Compared with existing robust filters, the proposed …

The robust Kalman filter design problem for two-dimensional uncertain linear discrete time-
varying systems with stochastic noises is investigated in this study. First, we prove that the …

We consider the problem of estimating an unknown parameter vector x in a linear model that
may be subject to uncertainties, where the vector x is known to satisfy a weighted norm …

This brief addresses attitude tracking problems for an over-actuated spacecraft in the
presence of actuator faults, imprecise fault estimation, and external disturbances. First, a …

In this article, an event-triggered distributed state estimation mechanism is proposed for
general linear systems that comprise several subsystems. Two distributed moving horizon …

We study robust transceiver optimization in a downlink, multiuser, wireless system, where
the transmitter and the receivers are equipped with antenna arrays. The robustness is …

In this technical note, a robust recursive regulator for linear discrete-time systems, which are
subject to parametric uncertainties, is proposed. The main feature of the optimal regulator …

In this brief, a problem of event-triggered state estimation for networked linear systems is
investigated. We consider that the stochastic system disturbances and noise are bounded …

The global minimum variance portfolio computed using the sample covariance matrix is
known to be negatively affected by parameter uncertainty, an important component of model …