Kernel Function Specialized for Controller Tuning via Bayesian Optimization

Abstract

This paper discusses a data-driven controller tuning especially from the black-box optimization perspective. In particular, this paper focuses on Bayesian optimization which estimates the function by Gaussian process regression. A new prior covariance function specialized for the controller tuning is proposed, and its effectiveness is demonstrated through a practical experiment.