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Studying the Interactions Among Model Reduction Algorithms via CAD Technique

  • L. Fortuna
  • A. Gallo
  • G. Nunnari
Conference paper
Part of the Advances in Simulation book series (ADVS.SIMULATION, volume 1)

Abstract

Considerable attention has been devoted to the problem of deriving reduced order models for complex systems [7]. In this study we comment some aspects of model reduction problems based on considerations of empirical investigations carried out by using a useful tool for such aims: UMLLSR [2], This is a Unified Interactive Modular Library of subprograms devoted to time-invariant linear system reduction. The development of a subprogram package is a very useful tool in view of the particular importance of Computer-Aided-Design in modular unified synthesis approach to control system design, but it also offers powerful support to investigate some theoretical aspects of the various approximation algorithms. UMLLSR consists of a set of modules implementing the various approximation techniques via a common data-base that allows the user to evaluate the performances of the different reduced models obtained. But the data-base also allows the exchanging of information among the various modules with the following aims:
  1. 1)

    to set further optimization in the synthesis of reduced models;

     
  2. 2)

    to study possible correlations among the obtained results using different approximation procedures in order to evaluate the efficiency of one algorithm respect to another, and possibly to predict the performance of a particular algorithm based on previous results;

     
  3. 3)

    to investigate numerical aspects of the algorithms in order to analyze their numerical stability (a) and to improve convergence of some iterative schemes (b).

     

Keywords

Model Reduction Reduce Order Model Control System Design Balance Scheme Torque Input 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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Copyright information

© Akademie-Verlag Berlin 1988

Authors and Affiliations

  • L. Fortuna
  • A. Gallo
  • G. Nunnari
    • 1
  1. 1.Istituto di Elettrotecnica ed ElettronicaUniversità di CataniaCataniaItaly

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