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Model reduction for classes of uncertain, multi-dimensional, parameter varying and non-linear systems

  • K. Glover
  • P. J. Goddard
  • Y. -C. Chu
Part C Modeling, Identification And Estimation
Part of the Lecture Notes in Control and Information Sciences book series (LNCIS, volume 241)

Abstract

This paper surveys recently proposed approaches for the model reduction of certain classes of uncertain, multi-dimensional, parameter varying and non-linear systems. It is shown that each of these systems may be written using a similar formulation. Balanced truncation model reduction, based on the solution of two Linear Matrix Inequalities (LMI’s) are discussed for each class of system and the similarities (and differences) highlighted.

Keywords

Linear Matrix Inequality Model Reduction Reduce Order Model Linear Time Invariant System Linear Time Invariant 
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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Copyright information

© Springer-Verlag London Limited 1999

Authors and Affiliations

  • K. Glover
  • P. J. Goddard
  • Y. -C. Chu
    • 1
  1. 1.Department of EngineeringUniversity of CambridgeCambridgeUK

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