The notion of balanced realizations and balanced truncation model reduction, including guaranteed error bounds, is extended to general Q-stable linear fractional transformations (LFTs). Since both multidimensional and uncertain systems are naturally represented using LFTs, this can be interpreted either as doing state order reduction for multidimensional systems or as uncertainty simplification in the case of uncertain systems. The role of Lyapunov equations in the 1D theory is replaced by linear matrix inequalities (LMIs). All proofs are given in detail as they are very short and greatly simplify even the standard 1D case
In this paper, we present a theoretical analysis of the model reduction algorithm for linear switche...
The paper considers the problem of model reduction for a class of linear parameter-dependent (LPD) s...
Many physical dynamical systems can be described by differential equations depending on parameters,...
The notion of balanced realizations and balanced truncation model reduction, including guaranteed er...
Model reduction methods are presented for systems represented by a linear fractional transformation ...
We present model reduction methods with guaranteed error bounds for systems represented by a Linear ...
The emphasis of this thesis is on the development of systematic methods for reducing the size and co...
A necessary and sufficient condition is given for the exact reduction of systems modeled by linear f...
In this paper we study the comparison and simplification of models given as Linear Fractional Transf...
This paper considers the problem of reducing the dimension of a model for an uncertain system whilst...
The purpose of this paper is to present a tutorial overview of Linear Fractional Transformations (...
Rational functions of several noncommuting indeterminates arise naturally in robust control when stu...
The problem of parametrizing all stabilizing controllers for general linear fractional transformatio...
This paper develops machinery for control of uncertain linear systems described in terms of linear f...
Abstract—Error-bounds are developed for balanced truncation of linear time-varying systems, leading ...
In this paper, we present a theoretical analysis of the model reduction algorithm for linear switche...
The paper considers the problem of model reduction for a class of linear parameter-dependent (LPD) s...
Many physical dynamical systems can be described by differential equations depending on parameters,...
The notion of balanced realizations and balanced truncation model reduction, including guaranteed er...
Model reduction methods are presented for systems represented by a linear fractional transformation ...
We present model reduction methods with guaranteed error bounds for systems represented by a Linear ...
The emphasis of this thesis is on the development of systematic methods for reducing the size and co...
A necessary and sufficient condition is given for the exact reduction of systems modeled by linear f...
In this paper we study the comparison and simplification of models given as Linear Fractional Transf...
This paper considers the problem of reducing the dimension of a model for an uncertain system whilst...
The purpose of this paper is to present a tutorial overview of Linear Fractional Transformations (...
Rational functions of several noncommuting indeterminates arise naturally in robust control when stu...
The problem of parametrizing all stabilizing controllers for general linear fractional transformatio...
This paper develops machinery for control of uncertain linear systems described in terms of linear f...
Abstract—Error-bounds are developed for balanced truncation of linear time-varying systems, leading ...
In this paper, we present a theoretical analysis of the model reduction algorithm for linear switche...
The paper considers the problem of model reduction for a class of linear parameter-dependent (LPD) s...
Many physical dynamical systems can be described by differential equations depending on parameters,...