Descriptor linear systems theory is an important part of control systems theory and has
attracted much attention in the last decades. Many researchers pay a great attention to …

This paper is concerned with an anisotropy-based estimation problem for a time-varying
sensor network with an information theoretic description of statistical uncertainty in the …

In this paper, the problem of computation of anisotropic norm of linear discrete time varying
finite horizon stochastic system in state-space terms is solved. The relationship with the …

We consider a finite horizon linear discrete time varying system whose input is a random
noise with an imprecisely known probability law. The statistical uncertainty is described by a …

In this survey, we discuss various approaches to control theory that have arisen in the recent
decades and reflect the desire to reach a trade-off between the LQG/H_2-control theory and …

The design problems of robust static controllers for discrete-time systems with norm-
bounded parametric uncertainties and random input disturbances are considered. The …

In the context of the anisotropic control theory (IG Vladimirov, AP Kurdjukov, AV Semyonov,
Anisotropy of Signals and the Entropy of Linear Stationary Systems, Doklady Math., 1995 …

This paper is an attempt to present the methodologically correct approach of the anisotropy-
based theory for discrete-time systems with multiplicative noise. A formulation of sufficient …

This paper is concerned with a problem of robust filtering for a finite-dimensional linear
discrete time invariant system with two output signals, one of which is directly observed …

We consider the problem of anisotropy-based analysis of the robust quality linear discrete
time-varying systems with finite horizon under random external disturbance. Uncertainty in …