ℋ₂-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systems

dc.contributor.authorBenner, Peteren
dc.contributor.authorGoyal, P.en
dc.contributor.authorGugercin, Serkanen
dc.contributor.departmentMathematicsen
dc.date.accessioned2018-01-25T17:18:24Zen
dc.date.available2018-01-25T17:18:24Zen
dc.date.issued2017-05-16en
dc.description.abstractWe investigate the optimal model reduction problem for large-scale quadratic-bilinear (QB) control systems. Our contributions are threefold. First, we discuss the variational analysis and the Volterra series formulation for QB systems. We then define the H<sub>2</sub>-norm for a QB system based on the kernels of the underlying Volterra series and also propose a truncated H<sub>2</sub>-norm. Next, we derive first-order necessary conditions for an optimal approximation, where optimality is measured in term of the truncated H<sub>2</sub>-norm of the error system. We then propose an iterative model reduction algorithm, which upon convergence yields a reduced-order system that approximately satisfies the newly derived optimality conditions. We also discuss an efficient computation of the reduced Hessian, using the special Kronecker structure of the Hessian of the system. We illustrate the efficiency of the proposed method by means of several numerical examples resulting from semi-discretized nonlinear partial differential equations and show its competitiveness with the existing model reduction schemes for QB systems such as moment-matching methods and balanced truncation.en
dc.identifier.urihttp://hdl.handle.net/10919/81923en
dc.relation.urihttp://arxiv.org/abs/1610.03279v2en
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectmath.NAen
dc.subjectmath.DSen
dc.titleℋ₂-Quasi-Optimal Model Order Reduction for Quadratic-Bilinear Control Systemsen
dc.typeArticle - Refereeden
pubs.organisational-group/Virginia Techen
pubs.organisational-group/Virginia Tech/All T&R Facultyen
pubs.organisational-group/Virginia Tech/Scienceen
pubs.organisational-group/Virginia Tech/Science/COS T&R Facultyen
pubs.organisational-group/Virginia Tech/Science/Mathematicsen

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