В пятом томе учебника изложены основные теоретические положения некоторых
направлений теории автоматического управления, интенсивно развиваемых в …

The anisotropic norm of a linear discrete-time-invariant system measures system output
sensitivity to stationary Gaussian input disturbances of bounded mean anisotropy. Mean …

Stochastic H∞-optimization problem using the anisotropic norm as the closed-loop system
performance criterion is stated. A state-space solution to the problem for finite-dimensional …

We consider a problem of robust performance analysis of linear discrete time varying
systems on a bounded time interval. The system is represented in the state-space form. It is …

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 advanced analysis of linear discrete time varying multiplicative noise
system in terms of anisotropy-based theory is considered. Accurate formulae for anisotropic …

In this paper, an estimation problem for the sensor networks is studied in the frameworks of
anisotropy-based theory. The considered system is described by linear discrete time-varying …

In this paper, the estimation problem is studied for a class of linear discrete time-varying
system with packet dropout in the framework of anisotropy-based theory. The extended …

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 …

This paper is aimed at extending the H∞ Bounded Real Lemma to stochastic systems under
random disturbances with imprecisely known probability distributions. The statistical …