✦ LIBER ✦

Forecasting linear dynamical systems using subspace methods

✍ Scribed by Alfredo García-Hiernaux

Book ID: 111040181
Publisher: John Wiley and Sons
Year: 2010
Tongue: English
Weight: 336 KB
Volume: 32
Category: Article
ISSN: 0143-9782
DOI: 10.1111/j.1467-9892.2010.00704.x

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

A subspace approach to linear dynamical

A subspace approach to linear dynamical systems

✍ Narayanan, H.; Priyadarshan, H. 📂 Article 📅 2013 🏛 Elsevier Science 🌐 English ⚖ 733 KB

Inexact Krylov Subspace Methods for Line

Inexact Krylov Subspace Methods for Linear Systems

✍ van den Eshof, Jasper; Sleijpen, Gerard L. G. 📂 Article 📅 2004 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 377 KB

Deflated Krylov subspace methods for nea

Deflated Krylov subspace methods for nearly singular linear systems

✍ J. C. Meza; W. W. Symes 📂 Article 📅 1992 🏛 Springer 🌐 English ⚖ 956 KB

Forecasting industrial production using

Forecasting industrial production using non-linear methods

✍ J. D. Byers; D. A. Peel 📂 Article 📅 1995 🏛 John Wiley and Sons 🌐 English ⚖ 685 KB

## Abstract Numerous theoretical models suggests that business cycles involve nonlinear processes. In this paper we examine whether two parametric, nonlinear time‐series models—the bilinear and threshold models—can exploit apparent non‐linearity in industrial production to provide forecasts superio

Linear parameter varying battery model i

Linear parameter varying battery model identification using subspace methods

✍ Y. Hu; S. Yurkovich 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 779 KB

Modeling of dynamic systems using latent

Modeling of dynamic systems using latent variable and subspace methods

✍ Ruijie Shi; John F. MacGregor 📂 Article 📅 2000 🏛 John Wiley and Sons 🌐 English ⚖ 187 KB 👁 2 views