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arXiv · 1406.3997

Implementation techniques for the SCFO experimental optimization framework

Gene A. Bunin·Grégory François·Dominique Bonvin
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Abstract

The material presented in this document is intended as a comprehensive, implementation-oriented supplement to the experimental optimization framework presented in a companion document. The issues of physical degradation, unknown Lipschitz constants, measurement/estimation noise, gradient estimation, sufficient excitation, and the handling of soft constraints and/or a numerical cost function are all addressed, and a robust, implementable version of the sufficient conditions for feasible-side global convergence is proposed.

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Gene A. Bunin, Grégory François, Dominique Bonvin. 2014-06-16. Implementation techniques for the SCFO experimental optimization framework. https://arxiv.org/abs/1406.3997

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