EUDML

The search session has expired. Please query the service again.

Currently displaying 1 – 3 of 3

Order by Relevance | Title | Year of publication

One-sided approximation of Bayes rule and its application to regression model with Cauchy noise

Miroslav Kárný; Katalin M. Hangos — 1988

Kybernetika

Notes on $μ$ and $l_{1}$ robustness tests

Gábor Z. Kovács; Katalin M. Hangos — 1998

Kybernetika

An upper bound for the complex structured singular value related to a linear time-invariant system over all frequencies is given. It is in the form of the spectral radius of the $ℋ_{\infty}$ -norm matrix of SISO input-output channels of the system when uncertainty blocks are SISO. In the case of MIMO uncertainty blocks the upper bound is the $\infty$ -norm of a special non-negative matrix derived from $ℋ_{\infty}$ -norms of SISO channels of the system. The upper bound is fit into the inequality relation between the results of...

Determining the domain of attraction of hybrid non–linear systems using maximal Lyapunov functions

Szabolcs Rozgonyi; Katalin M. Hangos; Gábor Szederkényi — 2010

Kybernetika

In this article a method is presented to find systematically the domain of attraction (DOA) of hybrid non-linear systems. It has already been shown that there exists a sequence of special kind of Lyapunov functions $V_{n}$ in a rational functional form approximating a maximal Lyapunov function $V_{M}$ that can be used to find an estimation for the DOA. Based on this idea, an improved method has been developed and implemented in a Mathematica-package to find such Lyapunov functions $V_{n}$ for a class of hybrid (piecewise...

Page 1

Download Results (CSV)

Advanced Search

Formula preview

Currently displaying 1 – 3 of 3

One-sided approximation of Bayes rule and its application to regression model with Cauchy noise

Notes on $μ$ and $l_{1}$ robustness tests

Determining the domain of attraction of hybrid non–linear systems using maximal Lyapunov functions

Advanced Search

Formula preview

Currently displaying 1 – 3 of 3

One-sided approximation of Bayes rule and its application to regression model with Cauchy noise

Notes on μ and l 1 robustness tests

Determining the domain of attraction of hybrid non–linear systems using maximal Lyapunov functions

Notes on $μ$ and $l_{1}$ robustness tests