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 …

We propose an axiomatic approach for design and performance analysis of noisy linear
consensus networks by introducing a notion of systemic performance measure. This class of …

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 …

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

This paper extends the Bounded Real Lemma of the H∞-control theory to stochastic
systems under random disturbances with imprecisely known probability distributions. The …

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 …

Анизотропийный анализ робастного качества линейных нестационарных д Page 1 ü í
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This paper considers an approach to attenuation of uncertain stochastic disturbances for a
linear discrete time invariant system. The statistical uncertainty is measured in terms of the …