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Computing the stochastic $H^\infty$-norm

Numerical Analysis 2017-03-14 v1

Abstract

The stochastic HH^\infty-norm is defined as the L2L^2-induced norm of the input-output operator of a stochastic linear system. Like the deterministic HH^\infty-norm it is characterised by a version of the bounded real lemma, but without a frequency domain description or a Hamiltonian condition. Therefore, we base its computation on a parametrised algebraic Riccati-type matrix equation.

Cite

@article{arxiv.1703.04440,
  title  = {Computing the stochastic $H^\infty$-norm},
  author = {Tobias Damm and Peter Benner and Jan Hauth},
  journal= {arXiv preprint arXiv:1703.04440},
  year   = {2017}
}

Comments

9 pages

R2 v1 2026-06-22T18:44:23.227Z