Inverse Modelling and Inverse Simulation for Engineering Applications | Novel Ideas for System Engineering and Control Applications

Linghai Lu

ISBN 10: 3838337336 / ISBN 13: 9783838337333

Published by LAP LAMBERT Academic Publishing, 2010

About this Item

Inverse Modelling and Inverse Simulation for Engineering Applications | Novel Ideas for System Engineering and Control Applications | Linghai Lu | Taschenbuch | 236 S. | Englisch | 2010 | LAP LAMBERT Academic Publishing | EAN 9783838337333 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 101221398

Bibliographic Details

• Title: Inverse Modelling and Inverse Simulation for Engineering Applications | Novel Ideas for System Engineering and Control Applications
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2010
• Language: English
• ISBN 10: 3838337336
• ISBN 13: 9783838337333
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 15D millimeters 220 millimeters width by 150 millimeters height by 15 millimeters depth
• Weight: 369 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

Following extensive development over the past two decades, techniques of inverse simulation have led to a range of successful applications. However, the available methods still have some well-known limitations. Two new methods are developed to overcome these issues. The first one, based on sensitivity-analysis theory, allows the Jacobian matrix to be calculated by solving a sensitivity equation. The second one, based on a constrained Nelder-Mead search-based optimisation algorithm, is completely derivative-free algorithm for inverse simulation This thesis also offers new insight into the relationship between mathematically based techniques of model inversion and the inverse simulation approach. The similarities and shortcomings of both these methodologies are explored. The analysis of results for these practical applications shows that the approaches developed and presented in this thesis are of practical importance. It is believed that these developments form a useful step in moving inverse simulation methods from the status of an academic research topic to a practical and robust set of tools for engineering system design.