AbstractIn this paper, the Rayleigh–Ritz method of estimating the eigenvalues of an operator on a Hilbert space is utilized to determine the magnitude of the largest eigenvalue for the Hankel operator of fractional-order systems, the Hankel norm. This provides a measure of the possible retrievable energy from the system in the future compared to the energy that was put into the system in the past. The application of the Rayleigh–Ritz method to obtaining underestimates of the Hankel norm of a fractional-order system is described. Several examples are given, demonstrating the method
The problem of optimal approximate system identification is addressed with a newly defined measure o...
The relationship between subsystem interconnection of discrete balanced systems and the Hankel singu...
This paper investigates a parallel problem to [5]: approximate a multivariable transfer function G(z...
AbstractIn this paper, the Rayleigh–Ritz method of estimating the eigenvalues of an operator on a Hi...
We present an efficient algorithm to compute the norm of a fractional system. The algorithm is based...
A self-contained derivation is presented of the characterization of all optimal Hankel-norm approxim...
The optimal Hankel norm approximation problem is solved for a class of infinite-dimensional systems ...
Model reduction is an important engineering problem, in which one aims to replace an elaborate model...
The optimal Hankel norm approximation problem is solved under the assumptions that the system Sigma ...
A constrained Hankel-norm approximation problem is considered. The reduced-order model is required t...
The sub-optimal Hankel norm approximation problem is solved for a well-posed linear system with gene...
We introduce a flexible optimization framework for nuclear norm minimization of matrices with linear...
AbstractThe calculation of the Hankel singular values for a class of distributed systems is reduced ...
This paper investigates a parallel problem to Glover (1984): approximate a multivariable transfer fu...
The sub-optimal Hankel norm approximation problem is solved under the assumptions that the system is...
The problem of optimal approximate system identification is addressed with a newly defined measure o...
The relationship between subsystem interconnection of discrete balanced systems and the Hankel singu...
This paper investigates a parallel problem to [5]: approximate a multivariable transfer function G(z...
AbstractIn this paper, the Rayleigh–Ritz method of estimating the eigenvalues of an operator on a Hi...
We present an efficient algorithm to compute the norm of a fractional system. The algorithm is based...
A self-contained derivation is presented of the characterization of all optimal Hankel-norm approxim...
The optimal Hankel norm approximation problem is solved for a class of infinite-dimensional systems ...
Model reduction is an important engineering problem, in which one aims to replace an elaborate model...
The optimal Hankel norm approximation problem is solved under the assumptions that the system Sigma ...
A constrained Hankel-norm approximation problem is considered. The reduced-order model is required t...
The sub-optimal Hankel norm approximation problem is solved for a well-posed linear system with gene...
We introduce a flexible optimization framework for nuclear norm minimization of matrices with linear...
AbstractThe calculation of the Hankel singular values for a class of distributed systems is reduced ...
This paper investigates a parallel problem to Glover (1984): approximate a multivariable transfer fu...
The sub-optimal Hankel norm approximation problem is solved under the assumptions that the system is...
The problem of optimal approximate system identification is addressed with a newly defined measure o...
The relationship between subsystem interconnection of discrete balanced systems and the Hankel singu...
This paper investigates a parallel problem to [5]: approximate a multivariable transfer function G(z...