{'fraction_non_alphanumeric': 0.02336448598130841, 'fraction_numerical': 0.0, 'mean_word_length': 5.128571428571429, '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}}
A Reduced Order Controller: Canonical Correlation Analysis of Deterministic/Stochastic Systems

First a brief overview of current model reduction methods is presented. Next the CCA approach is used to obtain a reduced-order LQR design as well as a reduced-order Kalman filter. Exploiting duality, a parallel presentation for both the problems is given. Finally reduced-order LQG controllers are discussed using the CCA approach.