A Practical Approach to Robustness Analysis with Aeronautical Applications

Author:   Gilles Ferreres
Publisher:   Springer Science+Business Media
Edition:   1999 ed.
ISBN:  

9780306462832


Pages:   206
Publication Date:   30 September 1999
Format:   Hardback
Availability:   In Print   Availability explained
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A Practical Approach to Robustness Analysis with Aeronautical Applications


Overview

The purpose of A Practical Approach to Robustness Analysis with Aeronautical Applications is twofold. First, it is to introduce as clearly as possible the m framework, while the second is to emphasize its practical usefulness. To this aim, classical and advanced m tools are first presented, then applied to a range of engineering problems, namely a missile, a large rigid or flexible transport aircraft and a highly flexible telescope mock-up.

Full Product Details

Author:   Gilles Ferreres
Publisher:   Springer Science+Business Media
Imprint:   Kluwer Academic/Plenum Publishers
Edition:   1999 ed.
Dimensions:   Width: 15.60cm , Height: 1.60cm , Length: 23.40cm
Weight:   1.130kg
ISBN:  

9780306462832


ISBN 10:   0306462834
Pages:   206
Publication Date:   30 September 1999
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Preliminaries.- to ? and LFTs.- Applicative Examples.- Computation of a Standard LFT Structure.- Realization of Uncertain Systems Under an LFT Form.- Applications.- Applications.- Computation of ? Bounds.- Applications of the ? Tools.- Applications.- Skewed ? Problems in Robustness Analysis.- Computation of Skewed Bounds.- Application of the Skewed ? Tools.- Nonstandard Applications.- Robustness Analysis of Flexible Structures.- Robustness Analysis in the Presence of Time Delays.- Nonlinear Analysis in the Presence of Parametric Uncertainties.

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