# 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} }

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…

## One Citation

A perspective for optimization in systems and control : from LMIs to derivative-free methods

- Computer Science
- 2012

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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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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