{'fraction_non_alphanumeric': 0.02455661664392906, 'fraction_numerical': 0.0, 'mean_word_length': 5.168067226890757, '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}}
Sliding mode control with adaptive fuzzy approximator for MIMO uncertain systems

This paper deals with the combination of sliding mode control (SMC) and fuzzy logic system (FLS) for a class of non-linear multi-input multi-output (MIMO) uncertain systems. An adaptive scheme for the fuzzy control is developed to approximate the unknown system functions. A SMC is then applied to reduce the effects of both approximation errors and external disturbances. Thanks to Lyapunov's theory, the stability of the closed loop system is demonstrated. Finally, simulation results, concerning the case of a MIMO uncertain system with external disturbances is considered in order to show the efficiency of the combination of the used controllers.