Implementation techniques for the SCFO experimental optimization framework

Gene A. Bunin, Grégory François, Dominique Bonvin

Research output: Working paper

Abstract / Description of output

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.
Original languageUndefined/Unknown
Number of pages66
Publication statusPublished - 16 Jun 2014

Keywords / Materials (for Non-textual outputs)

  • math.OC

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