Robust control with variance finite-signal-to-noise models Conference Paper uri icon


  • The newly introduced Finite Signal-to-Noise (FSN) models can model two kinds of uncertainties in controlled linear systems: the so-called finite-signal-to-noise ratio and multiplicative noises. FSN models uncertainties as white noises of intensity depending affinely on some signal variances in the controlled systems. This paper provides a complete solution for the analysis and synthesis of the linear system with FSN model uncertainty. The linear variance operator is a key mechanism used to deduce results for stability and performance robust to these uncertainties.

published proceedings

  • Proceedings of the IEEE Conference on Decision and Control

author list (cited authors)

  • Lu, J., Skelton, R. E., & Thygesen, U. H.

complete list of authors

  • Lu, J||Skelton, RE||Thygesen, UH

publication date

  • December 1996