Smoothing Technique of Nonsmooth Newton Methods for Control-State Constrained Optimal Control Problems

Abstract : This paper is concerned with the numerical solution of optimal control problems subject to mixed control-state constraints with differential-algebraic equations. The necessary conditions arising from a local minimum principle are transformed into an equivalent nonsmooth equation in appropriate Banach spaces. We then develop a parametric smoothing Newton method for solving this nonsmooth equation. The global and local convergence is proposed under suitable settings. Numerical examples are presented to demonstrate the efficiency of our global smoothing technique.
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Article dans une revue
SIAM Journal on Numerical Analysis, Society for Industrial and Applied Mathematics, 2012, 50 (4), pp.1982-2011. 〈10.1137/110822177〉
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Soumis le : mercredi 22 août 2012 - 19:51:25
Dernière modification le : lundi 21 mars 2016 - 11:34:44

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Jinhai Chen, Matthias Gerdts. Smoothing Technique of Nonsmooth Newton Methods for Control-State Constrained Optimal Control Problems. SIAM Journal on Numerical Analysis, Society for Industrial and Applied Mathematics, 2012, 50 (4), pp.1982-2011. 〈10.1137/110822177〉. 〈hal-00724868〉

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