Implementation techniques for the SCFO experimental optimization framework
نویسندگان
چکیده
The material presented in this document is intended as a comprehensive, implementation-oriented supplement to the experimental optimization framework presented in [10]. 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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