## Abstract In this paper we derive sufficient conditions for optimal control problems with mixed control and state constraints by applying a dual approach to the dynamic programming. These conditions guarantee that a relative minimum is achieved. We seek an optimal pair in the class of those admis
A variable time transformation method for mixed-integer optimal control problems
✍ Scribed by Matthias Gerdts
- Publisher
- John Wiley and Sons
- Year
- 2006
- Tongue
- English
- Weight
- 285 KB
- Volume
- 27
- Category
- Article
- ISSN
- 0143-2087
- DOI
- 10.1002/oca.778
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✦ Synopsis
Abstract
The article discusses a variable time transformation method for the approximate solution of mixed‐integer non‐linear optimal control problems (MIOCP). Such optimal control problems enclose real‐valued and discrete‐valued controls. The method transforms MIOCP using a discretization into an optimal control problem with only real‐valued controls. The latter can be solved efficiently by direct shooting methods. Numerical results are obtained for a problem from automobile test‐driving that involves a discrete‐valued control for the gear shift of the car. The results are compared to those obtained by Branch&Bound and show a drastic reduction of computation time. This very good performance makes the suggested method applicable even for many discretization points. Copyright © 2006 John Wiley & Sons, Ltd.
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