Optimal control problems with control complementarity constraints: existence results, optimality conditions, and a penalty method-Reference-Cited by-同舟云学术

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Optimal control problems with control complementarity constraints: existence results, optimality conditions, and a penalty method

Published:2019-05-16 Issue:1 Volume:35 Page:142-170
ISSN:1055-6788
Container-title:Optimization Methods and Software
language:en
Short-container-title:Optimization Methods and Software

Author:

Clason Christian¹^ORCID,Deng Yu²^ORCID,Mehlitz Patrick³^ORCID,Prüfert Uwe²^ORCID

Affiliation:

1. Faculty of Mathematics, Universität Duisburg-Essen, Essen, Germany

2. Faculty of Mathematics and Computer Science, Technische Universität Bergakademie Freiberg, Freiberg, Germany

3. Institute of Mathematics, Chair of Optimal Control, Brandenburgische Technische Universität Cottbus-Senftenberg, Cottbus, Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

Informa UK Limited

Subject

Applied Mathematics,Control and Optimization,Software

Link

https://www.tandfonline.com/doi/pdf/10.1080/10556788.2019.1604705

Reference31 articles.

1. Nonlinear Superposition Operators

2. Perturbation Analysis of Optimization Problems

3. Optimal Control Problems with Mixed Constraints

4. A convex analysis approach to optimal controls with switching structure for partial differential equations

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. MPCC: strong stability of weakly nondegenerate S-stationary points;Optimization;2024-08-05

2. An Optimal Control Problem with Terminal Stochastic Linear Complementarity Constraints;SIAM Journal on Control and Optimization;2023-11-14

3. A Stabilized Sequential Quadratic Programming Method for Optimization Problems in Function Spaces;Numerical Functional Analysis and Optimization;2023-04-27

4. Dynamic Optimization of Complementarity Systems;IEEE Transactions on Automatic Control;2023-02

5. Optimality conditions, approximate stationarity, and applications – a story beyond lipschitzness;ESAIM: Control, Optimisation and Calculus of Variations;2022

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