{'fraction_non_alphanumeric': 0.016453382084095063, 'fraction_numerical': 0.0, 'mean_word_length': 5.372093023255814, '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}}
Fault Detection for Delta Operator Networked Control Systems Based on T-S Fuzzy Model

This paper builds a fuzzy fault detection model for nonlinear networked control systems. The system considers the occurrence of delay and packet loss and is discretized by delta operator approach. Then, sufficient conditions for asymptotic stability of augmented system with H∞ performance are proposed by constructing Lyapunov functional. And filter parameters are acquired via solving LMIs. Finally, a numerical example shows the desired filter is effective.