{'fraction_non_alphanumeric': 0.02159468438538206, 'fraction_numerical': 0.0, 'mean_word_length': 5.414893617021277, '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}}
The Desighn of Extended Coprime-Factorized Model Predictive Functional Controller for Unstable Systems: A Case Study of CSTR

Open-loop unstable systems are more difficult to control than stable processes. In presence of time delay and uncertainty, the complexity of problem increases. In this paper, an extended model predictive functional control based on coprime-factorization is presented to control the unstable processes. An isothermal continuous stirred tank reactor (CSTR) is chosen as a case study. Simulation results are presented to show that the proposed method achieves better performance.