%0 Conference Proceedings
%T Dynamic Programming Approach for Discrete-Valued Time Discrete Optimal Control Problems with Dwell Time Constraints
%+ Fraunhofer Institute of Industrial Mathematics (Fraunhofer ITWM)
%+ Universität der Bundeswehr München [Neubiberg]
%+ Universität Mannheim
%+ Rheinisch-Westfälische Technische Hochschule Aachen University (RWTH)
%A Burger, Michael
%A Gerdts, Matthias
%A Göttlich, Simone
%A Herty, Michael
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 27th IFIP Conference on System Modeling and Optimization (CSMO)
%C Sophia Antipolis, France
%Y Lorena Bociu
%Y Jean-Antoine Désidéri
%Y Abderrahmane Habbal
%I Springer International Publishing
%3 System Modeling and Optimization
%V AICT-494
%P 159-168
%8 2015-06-29
%D 2015
%R 10.1007/978-3-319-55795-3_14
%K Dynamic programming
%K Mixed-integer optimization
%K Dwell time constraints
%Z Computer Science [cs]Conference papers
%X The article discusses a numerical approach to solve optimal control problems in discrete time that involve continuous and discrete controls. Special attention is drawn to the modeling and treatment of dwell time constraints. For the solution of the optimal control problem in discrete time, a dynamic programming approach is employed. A numerical example is included that illustrates the impact of dwell time constraints in mixed integer optimal control.
%G English
%Z TC 7
%2 https://inria.hal.science/hal-01626891/document
%2 https://inria.hal.science/hal-01626891/file/447583_1_En_14_Chapter.pdf
%L hal-01626891
%U https://inria.hal.science/hal-01626891
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-TC7
%~ IFIP-CSMO
%~ IFIP-AICT-494