Mohammad Monir Uddin

Computational Methods for Approximation of Large-Scale Dynamical Systems (eBook, ePUB)

• Format: ePub

Produktbeschreibung

This book mainly focuses on MOR techniques for the first and second order descriptor systems. The book also provides mathematical algorithms for implementing them in real-world applications. This book is intended for assisting undergraduates, graduates and researchers in academics and industries.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 336
• Erscheinungstermin: 30. April 2019
• Englisch
• ISBN-13: 9781351028608
• Artikelnr.: 56528524

Autorenporträt

Dr Mohammad Monir Uddin is an Assistant Professor in the Department of Mathematics and Physics at the North South University, Bangladesh. His research interests are Model Order Reduction,Systems and Control Theory, Iterative Methods for Large Sparse Matrix Equations, Numerical Linear Algebra, Optimization and Scientific Computing.

Inhaltsangabe

I Preliminaries. Review of Linear Algebra. Dynamic Systems and Control
Theory. Iterative Solution of Lyapunov Equations. Model Reduction of
Generalized State Space Systems. II Model Reduction of Descriptor Systems.
Introduction to Descriptor Systems. Model Reduction of First-Order Index 1
Descriptor Systems. Model Reduction of First-Order Index 2 Descriptor
Systems. Model Reduction of First-Order Index 2 Unstable Descriptor
Systems. Model Reduction of First-Order Index 3 Descriptor Systems. Model
Reduction of Second-Order Index 1 Descriptor Systems. Model Reduction of
Second-Order Index 3 Descriptor Systems. III Appendices. Appendix A Data of
Benchmark Model Examples. Appendix B MATLAB® Codes. Bibliography. Index.