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

abstract

• 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.

authors

• Skelton, Robert

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

published in

• IEEE Conference on Decision and Control  Journal

start page

• 2355

end page

• 3592

volume

• 3