Developments in machine learning have increased interest in data-driven methods, particularly in predictive control. Data-enabled predictive control has been claimed to provide a data-driven end-to-end solution. It includes robustness guarantees obtained through regularization, borrowed from popular machine learning methods. These novel methods use data in a new framework, where analysis methods used in adaptive control […]
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