Add to ORKGWe 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 uses Chandrasekhar iterations to obtain an estimate of the H∞-norm and then uses extrapolation to improve these estimates
The stochastic H∞-norm is defined as the L2-induced norm of the input-output operator of a stochasti...
Abstract. The H ∞ norm is a well known and important measure arising in many applications that quant...
This study deals with the L₁ analysis of stable finite-dimensional linear time-invariant (LTI) 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...
In this paper, we describe an algorithm for estimating the H∞-norm of a large linear time invariant ...
Abstract. The H ∞ norm of a transfer matrix function for a control system is the reciprocal of the l...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Abstract: Large-scale linear time-invariant dynamical systems with inputs and outputs present major ...
In this paper, we propose an improved method for computing the $\mathcal{H}_\infty$ norm of linear d...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
A fast algorithm for the computation of the optimally frequencydependent scaled H1-norm of a finite ...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
This paper presents an algorithm for an `1-regularized Kalman fil-ter. Given observations of a discr...
The stochastic H∞-norm is defined as the L2-induced norm of the input-output operator of a stochasti...
Abstract. The H ∞ norm is a well known and important measure arising in many applications that quant...
This study deals with the L₁ analysis of stable finite-dimensional linear time-invariant (LTI) 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...
In this paper, we describe an algorithm for estimating the H∞-norm of a large linear time invariant ...
Abstract. The H ∞ norm of a transfer matrix function for a control system is the reciprocal of the l...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
Abstract: Large-scale linear time-invariant dynamical systems with inputs and outputs present major ...
In this paper, we propose an improved method for computing the $\mathcal{H}_\infty$ norm of linear d...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
A fast algorithm for the computation of the optimally frequencydependent scaled H1-norm of a finite ...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
This paper presents an algorithm for an `1-regularized Kalman fil-ter. Given observations of a discr...
The stochastic H∞-norm is defined as the L2-induced norm of the input-output operator of a stochasti...
Abstract. The H ∞ norm is a well known and important measure arising in many applications that quant...
This study deals with the L₁ analysis of stable finite-dimensional linear time-invariant (LTI) syste...