Robust control with variance finite-signal-to-noise models
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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.
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