• Corpus ID: 6940960

Alternatives for optimization in systems and control: convex and non-convex approaches

@article{Simon2012AlternativesFO,
  title={Alternatives for optimization in systems and control: convex and non-convex approaches},
  author={Emile Simon},
  journal={ArXiv},
  year={2012},
  volume={abs/1205.0111}
}
  • E. Simon
  • Published 1 May 2012
  • Computer Science
  • ArXiv
In this presentation, we will develop a short overview of main trends of optimization in systems and control, and from there outline some new perspectives emerging today. More specifically, we will focus on the current situation, where it is clear that convex and Linear Matrix Inequality (LMI) methods have become the most common option. However, because of its vast success, the convex approach is often the only direction considered, despite the underlying problem is non-convex and that other… 
1 Citations
A perspective for optimization in systems and control : from LMIs to derivative-free methods
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This investigation is motivated by the fact that this framework is currently largely dominated by LMIs and convex optimization approaches even when the underlying problems are non-convex, in which case other optimization alternatives than convexity-based methods may often be more adequate.

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