Use of canonical correlation analysis in component model reduction Conference Paper uri icon


  • This paper presents a method to reduce the model of each component in a large scale system, while taking into account the interactions with the rest of the system. The paper compares two methods: canonical correlation analysis and component cost analysis. First the interaction between component k and the rest of the system is described by canonical correlation analysis. (The state variables of component k are ranked according to the size of their canonical correlation coefficients). Next a component cost analysis is performed in the canonical correlation coordinates. (The state variables of component k are then ranked according to their component cost). Better performance properties are obtained by the component cost analysis method when it yields stability.

published proceedings

  • American Society of Mechanical Engineers, Design Engineering Division (Publication) DE

author list (cited authors)

  • Skelton, R. E., & Da, D.

complete list of authors

  • Skelton, RE||Da, D

publication date

  • December 1989