1
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Optimal robustness of passive discrete time systems

      Preprint
      ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We construct optimally robust realizations of a given rational transfer function that represents a passive discrete-time system. We link it to the solution set of linear matrix inequalities defining passive transfer functions. We also consider the problem of finding the nearest passive system to a given non-passive one.

          Related collections

          Most cited references11

          • Record: found
          • Abstract: not found
          • Article: not found

          Computing the Polar Decomposition—with Applications

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            A regularity result for the singular values of a transfer matrix and a quadratically convergent algorithm for computing its L∞-norm

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              Existence, Uniqueness, and Parametrization of Lagrangian Invariant Subspaces

                Bookmark

                Author and article information

                Journal
                15 September 2019
                Article
                1909.06871
                c34be233-fa24-4248-bdce-9b6fea119c28

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                93D09, 93C05, 49M15, 37J25
                20 pages 2 figures
                math.OC cs.NA math.NA

                Numerical & Computational mathematics,Numerical methods
                Numerical & Computational mathematics, Numerical methods

                Comments

                Comment on this article