In this paper, we describe an algorithm for estimating the H∞-norm of a large linear time invariant dynamical system described by a discrete time state-space model. The algorithm is designed to be efficient for state-space models defined by {A,B,C,D} where A is a large sparse matrix of order n which is assumed very large relative to the input and output dimensions of the system
This paper considers linear time-invariant (LTI) sampled-data systems and studies their generalized ...
H ∞ -norm estimation is of critical importance for robust control design. This paper aims to develop...
We describe model reduction techniques for large scale dynamical systems, modeled via systems of equ...
We describe an algorithm for estimating the H∞-norm of a large linear time invariant dynamical syste...
We describe an algorithm for estimating the H∞-norm of a large linear time invariant dynamical syste...
We describe an algorithm for estimating the $\mathcal{H}_{\infty}$-norm of a large linear time invar...
We describe an algorithm for estimating the Η∞-norm of a large linear time invariant dynamical syste...
Abstract: Large-scale linear time-invariant dynamical systems with inputs and outputs present major ...
A fast algorithm for the computation of the optimally frequencydependent scaled H1-norm of a finite ...
Abstract. The H ∞ norm of a transfer matrix function for a control system is the reciprocal of the l...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
In this paper, we propose an improved method for computing the $\mathcal{H}_\infty$ norm of linear d...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
In this paper we show that H-infinity, norm for a class of nonlinear continuous-time systems is the ...
This paper considers linear time-invariant (LTI) sampled-data systems and studies their generalized ...
H ∞ -norm estimation is of critical importance for robust control design. This paper aims to develop...
We describe model reduction techniques for large scale dynamical systems, modeled via systems of equ...
We describe an algorithm for estimating the H∞-norm of a large linear time invariant dynamical syste...
We describe an algorithm for estimating the H∞-norm of a large linear time invariant dynamical syste...
We describe an algorithm for estimating the $\mathcal{H}_{\infty}$-norm of a large linear time invar...
We describe an algorithm for estimating the Η∞-norm of a large linear time invariant dynamical syste...
Abstract: Large-scale linear time-invariant dynamical systems with inputs and outputs present major ...
A fast algorithm for the computation of the optimally frequencydependent scaled H1-norm of a finite ...
Abstract. The H ∞ norm of a transfer matrix function for a control system is the reciprocal of the l...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
In this paper, we propose an improved method for computing the $\mathcal{H}_\infty$ norm of linear d...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
In this paper we show that H-infinity, norm for a class of nonlinear continuous-time systems is the ...
This paper considers linear time-invariant (LTI) sampled-data systems and studies their generalized ...
H ∞ -norm estimation is of critical importance for robust control design. This paper aims to develop...
We describe model reduction techniques for large scale dynamical systems, modeled via systems of equ...