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...

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Bibliographic Details
Main Authors: Fortuna, L., Nunnari, G. (Author), Gallo, A. (Author)
Format: eBook
Language:English
Published: London Springer London 1992, 1992
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