We extend a method for approximate balanced reduced order model derivation for finite dimensional linear systems developed by Rowley (Int. J. Bifur. Chaos Appl. Sci. Eng. 15(3) (2005), pp. 997-1013) to infinite dimensional systems. The algorithm is related to standard balanced truncation, but includes aspects of the proper orthogonal decomposition in its computational approach. The method can be also applied to nonlinear systems. Numerical results are presented for a convection diffusion system
This paper deals with model reduction by balanced truncation of switched linear systems (SLS). We co...
In this paper we introduce a new method of model reduction for nonlinear systems with inputs and ou...
Model reduction of nonnormal state-space input/output systems requires a dual-state (state and adjoi...
In this paper, we extend a method for reduced order model derivation for finite dimensional systems ...
We consider convergence analysis for a model reduction algorithm for a class of linear infinite dime...
We present a variation on an existing model reduction algorithm for linear systems based on balanced...
This paper presents a reduced order model problem using reciprocal transformation and balanced trunc...
This paper presents an approximate method for obtaining truncated balance realizations of systems re...
A mathematical model of a physical system is never perfect; therefore, robust control laws are neces...
Proper orthogonal decomposition (POD) finds an orthonormal basis yielding an optimal reconstruction ...
The problem of model order reduction plays a mayor role in engineering as the complexity and the dim...
Modeling issues of infinite dimensional systems is studied in this paper. Although the modeling prob...
Bounded real balanced truncation for infinite-dimensional systems is considered. This provides reduc...
Model reduction by balanced truncation for bounded real and positive real input-stateoutput systems,...
In this paper, we introduce a new method of model reduction for nonlinear control systems. Our appro...
This paper deals with model reduction by balanced truncation of switched linear systems (SLS). We co...
In this paper we introduce a new method of model reduction for nonlinear systems with inputs and ou...
Model reduction of nonnormal state-space input/output systems requires a dual-state (state and adjoi...
In this paper, we extend a method for reduced order model derivation for finite dimensional systems ...
We consider convergence analysis for a model reduction algorithm for a class of linear infinite dime...
We present a variation on an existing model reduction algorithm for linear systems based on balanced...
This paper presents a reduced order model problem using reciprocal transformation and balanced trunc...
This paper presents an approximate method for obtaining truncated balance realizations of systems re...
A mathematical model of a physical system is never perfect; therefore, robust control laws are neces...
Proper orthogonal decomposition (POD) finds an orthonormal basis yielding an optimal reconstruction ...
The problem of model order reduction plays a mayor role in engineering as the complexity and the dim...
Modeling issues of infinite dimensional systems is studied in this paper. Although the modeling prob...
Bounded real balanced truncation for infinite-dimensional systems is considered. This provides reduc...
Model reduction by balanced truncation for bounded real and positive real input-stateoutput systems,...
In this paper, we introduce a new method of model reduction for nonlinear control systems. Our appro...
This paper deals with model reduction by balanced truncation of switched linear systems (SLS). We co...
In this paper we introduce a new method of model reduction for nonlinear systems with inputs and ou...
Model reduction of nonnormal state-space input/output systems requires a dual-state (state and adjoi...
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