Model Order Reduction Techniques with Applications in Electrical Engineering
Model Order Reduction Techniqes focuses on model reduction problems with particular applications in electrical engineering. Starting with a clear outline of the technique and their wide methodological background, central topics are introduced including mathematical tools, physical processes, numeric...
Main Authors: | , , |
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Format: | eBook |
Language: | English |
Published: |
London
Springer London
1992, 1992
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Edition: | 1st ed. 1992 |
Subjects: | |
Online Access: | |
Collection: | Springer Book Archives -2004 - Collection details see MPG.ReNa |
Table of Contents:
- 4.2 Power system model order reduction
- 4.3 Model order reduction in transient electromagnetic phenomena
- 4.4 Approximated model identification of electrical induction machines
- 4.5 The approximated flywheel generator converter model in the JET (Joint European Torus) load
- 4.6 The Kokotovic reduced-order regulator problem
- 4.7 Techniques for characterising electrical network properties and model order reduction
- References
- 5 Advanced Topics in Model Reduction
- 5.1 Reduced-order models of high-order systems with bounded parameters
- 5.2 High-order systems with low-order compensators
- 5.3 Multidimensional system approximation
- 5.4 Balancing techniques for very large scale systems
- 5.5 Model order reduction for linear time-varying systems and non-linear systems
- 5.6 Towards unified software support for modelorder reduction
- 5.7 New software tools for model order reduction
- 5.8 Concluding remarks
- References
- Appendix A EXPRED Decision Tree
- 1 Introduction
- 1.1 Introduction
- 1.2 Formalisation of a model reduction problem
- 1.3 The importance of model order reduction
- 1.4 Notations and mathematical backgrounds
- References
- 2 Model Reduction
- 2.1 Overview of common model order reduction methods
- 2.2 Frequency domain methods for model order reduction
- 2.3 Time domain methods for model order reduction
- 2.4 Balanced realisation-based model order reduction
- 2.5 Balancing approaches for symmetrical systems
- 2.6 “Hankel”-based methods
- 2.7 Model order reduction examples
- References
- 3 Guidelines for Obtaining Low Order Models
- 3.1 Introduction
- 3.2 Reasons for using an expert system
- 3.3 Approaches for dealing with uncertainty
- 3.4 A suitable software environment for EXPRED
- 3.5 Expertise organisation
- 3.6 Consultation of the expert system
- 3.7 Quantitative assessment of reduced model performance
- References
- 4 Applications in Electrical Engineering
- 4.1 Introduction
- Appendix B MATLAB Program Codes of the Main Reduction Algorithms