{'fraction_non_alphanumeric': 0.017488076311605722, 'fraction_numerical': 0.0, 'mean_word_length': 5.237623762376238, '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}}
pH adaptive control based on multiple model switching approach

pH control is known to be a challenging problem due to its severe nonlinear nature. Several control strategies are proposed for controlling pH processes among which is the strong acid equivalent (SAE) scheme. Although this technique is robust to modeling error, the control performance is degraded if the titration curve undergoes large changes. To overcome this problem, multiple model switching method is proposed in this work. For modeling, both fixed and adaptive models are considered. The effectiveness of the schemes is demonstrated via computer simulations.