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Automatic Robust Convex Programming
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- Löfberg, Johan, 1974- (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
- (creator_code:org_t)
- Taylor & Francis, 2012
- 2012
- English.
- In: Optimization Methods and Software. - : Taylor & Francis. - 1055-6788 .- 1029-4937. ; 27:1, s. 115-129
- Journal article (peer-reviewed)
Abstract
Subject headings
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- This paper presents the robust optimization framework in the modelling language YALMIP, which carries out robust modelling and uncertainty elimination automatically and allows the user to concentrate on the high-level model. While introducing the software package, a brief summary of robust optimization is given, as well as some comments on modelling and tractability of complex convex uncertain optimization problems.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Robust optimization
- Conic programming
- Modelling software
- Automatic control
- Reglerteknik
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- ref (subject category)
- art (subject category)
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