{'fraction_non_alphanumeric': 0.03585147247119078, 'fraction_numerical': 0.0, 'mean_word_length': 5.409836065573771, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Switching data-processing methods for feedback control: Breaking the speed versus accuracy trade-off

In many digitally controlled applications, such as vision-based and data-intensive control, the choice of the data-processing method for distilling (control-relevant) state information is non-trivial and important. While accurate processing methods require significant processing time, limiting the closed-loop control rate, faster methods introduce larger inaccuracies in the distilled state information. This leads to a trade-off between speed and accuracy, which can be considered off-line or on-line. In this paper, we propose an on-line strategy to switch between different data-processing methods in real-time in order to improve closed-loop performance for linear systems.