Inclusion of model uncertainty in a computational framework for dynamic operability assessment

This paper deals with the treatment of model uncertainty in aQ-parametrization framework for dynamic operability assessment. Structured nonlinear and/or time-varying model uncertainty is considered using the ℓ1 robust control theory of Khammash and Pearson (1991). In the case of unstructured model uncertainty, dynamic operability assessment is posed as a convex quadratic programming problem and solved efficiently using sparse matrix techniques. …