A class of single input single output bilinear systems described by their input-output difference equation is considered. A simple expression for the Volterra kernels of the system is derived in terms of the coefficients of difference equation. An algorithm, based on tire singular value decomposition of a generalized Hankel matrix, is also developed. The algorithm is then used to find a reduced-order bilinear state-space model. The Hankel approach swill be extensively studied under different data length cases and different orders of the state-space models. A numerical example is presented to illustrate the effectiveness of the proposed algorithm
We consider model order reduction of bilinear descriptor systems using an in-terpolatory projection ...
In this paper, we generalize a class of existing linear subspace identification techniques to subspa...
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A class of single input single output bilinear systems described by their input-output difference eq...
A fairly simple iterative algorithm for identifying mul-tivariable bilinear systems has been introdu...
In this paper, we present a new kind of the bilinear systems in the form of state space model. The e...
This paper studies the realizability property of bilinear input-output (i/o) models in the classical...
We discuss the identification of multiple input, multiple output, discrete-time bilinear state space...
Recently, attention has been focused on the class of bilinear systems, both for its applicative inte...
AbstractIn this paper we study numerical methods for the model-order reduction of large-scale biline...
A new method for the approximation of bilinear systems is proposed. The reduction scheme applies to ...
A novel Krylov subspace method is proposed to substantially reduce the computational complexity of t...
Bilinear systems can be viewed as a bridge between linear and nonlinear systems, providing a promisi...
For linear control systems minimal realization theory and the related model reduction methods play a...
Bilinear systems offer a promising approach for nonlinear control because a broad class of nonlinear...
We consider model order reduction of bilinear descriptor systems using an in-terpolatory projection ...
In this paper, we generalize a class of existing linear subspace identification techniques to subspa...
In this paper a new balanced realization method for nonlinear systems is proposed which is based on ...
A class of single input single output bilinear systems described by their input-output difference eq...
A fairly simple iterative algorithm for identifying mul-tivariable bilinear systems has been introdu...
In this paper, we present a new kind of the bilinear systems in the form of state space model. The e...
This paper studies the realizability property of bilinear input-output (i/o) models in the classical...
We discuss the identification of multiple input, multiple output, discrete-time bilinear state space...
Recently, attention has been focused on the class of bilinear systems, both for its applicative inte...
AbstractIn this paper we study numerical methods for the model-order reduction of large-scale biline...
A new method for the approximation of bilinear systems is proposed. The reduction scheme applies to ...
A novel Krylov subspace method is proposed to substantially reduce the computational complexity of t...
Bilinear systems can be viewed as a bridge between linear and nonlinear systems, providing a promisi...
For linear control systems minimal realization theory and the related model reduction methods play a...
Bilinear systems offer a promising approach for nonlinear control because a broad class of nonlinear...
We consider model order reduction of bilinear descriptor systems using an in-terpolatory projection ...
In this paper, we generalize a class of existing linear subspace identification techniques to subspa...
In this paper a new balanced realization method for nonlinear systems is proposed which is based on ...