The series Advances in Industrial Control aims to report and encourage technology transfer
in control engineering. The rapid development of control technology impacts all areas of the …

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

The anisotropic norm is a quantitative characteristic for sensitivity of a system with respect to
a special family of Gaussian signals with upper bounded mean anisotropy. Formulae for the …

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 …

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, 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 …

This paper deals with an application of robust state feedback pole placement for discrete-
time polytopic systems with stochastic disturbance attenuation. A set of stochastic signals is …

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 …