Zobrazeno 1 - 10
of 22
pro vyhledávání: '"James S Welsh"'
Autor:
Xiao-Li Hu, James S. Welsh
Publikováno v:
IEEE Transactions on Automatic Control. 65:4005-4015
In this article, an upper bound is established for the estimation error of a standard least squares (LS) algorithm used to identify a continuous-time model from filtered, sampled input–output data. It is found that the error has three constituent c
Publikováno v:
IFAC-PapersOnLine. 53:548-553
In this paper we apply a continuous-time system identification method, known as the Simplified Refined Instrumental Variable method for Continuous-time systems (SRIVC), to the problem of estimating membrane properties of vestibular Type II hair cells
Publikováno v:
IEEE Control Systems Letters. 1:388-393
In nonlinear system identification, Volterra kernel estimation based on regularized least squares can be performed by taking a Bayesian approach. In this framework, covariance structures which describe the Gaussian kernels are represented by a set of
Publikováno v:
Automatica
Automatica, Elsevier, 2018, 99 (sept.), pp.455-462. ⟨10.1016/j.automatica.2018.06.023⟩
Automatica, Elsevier, 2018, 99 (sept.), pp.455-462. ⟨10.1016/j.automatica.2018.06.023⟩
International audience; In this paper we propose an algorithm to estimate the parameters, including time delay, of continuous time systems based on instrumental variable identification methods. To overcome the multiple local minima of the cost functi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::da7b89b9f4e2e7118c20b4640652f652
http://arxiv.org/abs/1703.09344
http://arxiv.org/abs/1703.09344
In this paper, we develop an upper bound for the SPARSEVA (SPARSe Estimation based on a VAlidation criterion) estimation error in a general scheme, i.e., when the cost function is strongly convex and the regularized norm is decomposable for a pair of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::60a39202508f7361ac9c5e476e2253b5
Autor:
James S. Welsh, Huong Ha
Publikováno v:
CDC
This paper presents a new algorithm to estimate the parameters and the time delay of continuous-time (CT) systems. The proposed algorithm uses the Simplified Refined Instrumental Variable (SRIVC) method to estimate the plant parameters while using a
Publikováno v:
IFAC Proceedings Volumes. 45:322-327
In this contribution we present a method to estimate structured high order ARX models. By this we mean that the estimated model, despite its high order is close to a low order model. This is achieved by adding two terms to the least-squares cost func
Autor:
James S. Welsh, Huong Ha
Publikováno v:
CDC
The aim of this paper is to propose a new method to select the model order in continuous time system identification, instrumental variable methods. The idea is to over-parameterize the model and utilize regularization based on the l1 norm to obtain a
Publikováno v:
Automatica. 47:1938-1948
In this paper we investigate the cost of complexity, which is defined as the minimum amount of input power required to estimate the frequency response of a given linear time invariant system of order n with a prescribed degree of accuracy. In particu
Autor:
He Kong, James S. Welsh
Publikováno v:
IFAC Proceedings Volumes. 44:13197-13202
It is well known that robust optimal experiment design is an extremely computationally expensive problem. The design is generally solved by discretisation of the design space resulting in a discrete semi-infinite convex programming problem. To ease t