Advertisement

Sensitivity Optimization

  • Uwe Helmke
  • John B. Moore
Part of the Communications and Control Engineering book series (CCE)

Abstract

In this chapter, the further development and application of matrix least squares optimization techniques is made to minimizing linear system parameter sensitivity measures. Even for scalar linear systems, the sensitivity of the system transfer function with respect to the system state space realization parameters is expressed in terms of norms of matrices. Thus a matrix least squares approach is a very natural choice for sensitivity minimization. See also Helmke and Moore (1993), Yan and Moore (1992) and Yan, Moore and Helmke (1993).

Keywords

Transfer Function Model Reduction Sensitivity Function Contour Integration Reduce Order Model 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag London Limited 1994

Authors and Affiliations

  • Uwe Helmke
    • 1
  • John B. Moore
    • 2
  1. 1.Department of MathematicsUniversity of WürzburgWürzburgGermany
  2. 2.Department of Systems Engineering and Cooperative Research Centre for Robust and Adaptive Systems, Research School of Information Sciences and EngineeringAustralian National UniversityCanberraAustralia

Personalised recommendations