A probabilistic framework for problems with real structured uncertainty in systems and control
The authors begin by studying the generation of real random matrix samples having uniform distribution in structured (spectral) norm bounded sets. The distribution of the singular values of uniformly distributed real matrices is analyzed, and a polynomial-time algorithm for their generation is presented. The techniques developed are then used in a probabilistic setting to solve problems subject to real structured uncertainty.
scientific article; zbMATH DE number 1797110
scientific article