This paper deals with the estimation of the noise covariance matrices of systems described
by state‐space models. Stress is laid on the systematic survey and classification of both the …

This paper is concerned with the H∞ filtering for a class of nonlinear discrete-time systems.
By embedding the unscented transform technique into the extended H∞ filter structure, the …

This study suggests a new method for modelling lithium‐ion battery types and state‐of‐
charge (SOC) estimation using adaptive H∞ filter (AHF). First, a universal linear model with …

In this paper, a new algorithm is proposed for the classification of digital amplitude-phase
modulated signals in flat fading channels with time-correlated non-Gaussian noise. The first …

This paper presents a suboptimal H∞ filtering problem solution for a class of discrete-time
nonlinear polynomial systems over linear observations. The solution is obtained splitting the …

This paper investigates the problem of reduced-order generalized H_∞ filtering for linear
discrete-time systems. Generalized H_∞ filtering covers standard H_∞ filtering as a special …

Abstract Model predictive control (MPC) strategy uses the current state of a system model to
predict its future behavior in a finite-time horizon. This method minimizes an objective …

This study deals with the estimation of a vector process disturbed by an additive white noise.
When this process is modelled by a multivariate autoregressive (M-AR) process, optimal …

This paper deals with the problem of tracking a single maneuvering target from multiple
platforms in the cluttered environment. A new solution based on H∞ filtering is presented to …

Autoregressive (AR) and time-varying AR (TVAR) models are widely used in various
applications, from speech processing to biomedical signal analysis. Various dissimilarity …