We describe an algorithm for estimating the Η∞-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 Η∞-norm and then uses extrapolation to improve these estimates
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
This paper studies computation of ℓ2[0, h] induced norms of finite-dimensional linear systems. The p...
The problem of optimal approximate system identification is addressed with a newly defined measure o...
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...
In this paper, we describe an algorithm for estimating the H∞-norm of a large linear time invariant ...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
This study deals with the L₁ analysis of stable finite-dimensional linear time-invariant (LTI) syste...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
This study deals with the L-1 analysis of stable finite-dimensional linear time-invariant (LTI) syst...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
This paper provides a discretization method for computing the induced norm from L₂ to L∞ in single-i...
A fast algorithm for the computation of the optimally frequencydependent scaled H1-norm of a finite ...
We present an efficient algorithm to compute the norm of a fractional system. The algorithm is based...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
This paper studies computation of ℓ2[0, h] induced norms of finite-dimensional linear systems. The p...
The problem of optimal approximate system identification is addressed with a newly defined measure o...
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...
In this paper, we describe an algorithm for estimating the H∞-norm of a large linear time invariant ...
AbstractThis paper develops a validated numerical algorithm to compute the L∞-norm, a norm which pla...
This study deals with the L₁ analysis of stable finite-dimensional linear time-invariant (LTI) syste...
The aim of this paper is to propose a new method for the optimal "H_∞ norm" computation of time-vary...
This study deals with the L-1 analysis of stable finite-dimensional linear time-invariant (LTI) syst...
Abstract: The poles/residues expression of the frequency-limited H2-norm is used to derive two upper...
This paper provides a discretization method for computing the induced norm from L₂ to L∞ in single-i...
A fast algorithm for the computation of the optimally frequencydependent scaled H1-norm of a finite ...
We present an efficient algorithm to compute the norm of a fractional system. The algorithm is based...
Linear systems have been used extensively in engineering to model and control the behavior of dynami...
This paper studies computation of ℓ2[0, h] induced norms of finite-dimensional linear systems. The p...
The problem of optimal approximate system identification is addressed with a newly defined measure o...
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