✦ LIBER ✦

A robust numerical method for the γ-iteration in H∞ control

✍ Scribed by Peter Benner; Ralph Byers; Volker Mehrmann; Hongguo Xu

Book ID: 104037029
Publisher: Elsevier Science
Year: 2007
Tongue: English
Weight: 358 KB
Volume: 425
Category: Article
ISSN: 0024-3795
DOI: 10.1016/j.laa.2007.03.026

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Iterative Methods for a Class of Robust

Iterative Methods for a Class of Robust Control Problems in Fluid Mechanics

✍ Medjo, T. Tachim 📂 Article 📅 2002 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 323 KB

Adjoint-Based Iterative Method for Robus

Adjoint-Based Iterative Method for Robust Control Problems in Fluid Mechanics

✍ Medjo, T. Tachim; Tebou, L. R. Tcheugoue 📂 Article 📅 2004 🏛 Society for Industrial and Applied Mathematics 🌐 English ⚖ 585 KB

A numerical method for determining monot

A numerical method for determining monotonicity and convergence rate in iterative learning control

✍ Barton, Kira L.; Bristow, Douglas A.; Alleyne, Andrew G. 📂 Article 📅 2010 🏛 Taylor and Francis Group 🌐 English ⚖ 364 KB

Robust control of the benchmark problem

Robust control of the benchmark problem using H∞ methods and numerical optimization techniques

✍ Ian Postlethwaite; James F. Whidborne; Ghassan Murad; Da-Wei Gu 📂 Article 📅 1994 🏛 Elsevier Science 🌐 English ⚖ 290 KB

A robust numerical method for the potent

A robust numerical method for the potential vorticity based control variable transform in variational data assimilation

✍ S. Buckeridge; M.J.P. Cullen; R. Scheichl; M. Wlasak 📂 Article 📅 2011 🏛 John Wiley and Sons 🌐 English ⚖ 206 KB

## Abstract The potential vorticity based control variable transformation for variational data assimilation, proposed in Cullen (2003), is a promising alternative to the currently more common vorticity based transformation. It leads to a better decorrelation of the control variables, but it involve

Numerical algorithms for the moore-penro

Numerical algorithms for the moore-penrose inverse of a matrix: Iterative methods

✍ Nobuo Shinozaki; Masaaki Sibuya; Kunio Tanabe 📂 Article 📅 1972 🏛 Springer Japan 🌐 English ⚖ 381 KB