{'fraction_non_alphanumeric': 0.018578352180936994, 'fraction_numerical': 0.0, 'mean_word_length': 6.08, '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}}
Dynamic event‐triggered fixed‐time adaptive fuzzy control of nonstrict‐feedback switched nonlinear systems

In this paper, a dynamic event‐triggered fixed‐time adaptive fuzzy control method is set up to solve the tracking problem for a type of nonstrict‐feedback switched nonlinear systems with asymmetric tracking error constraints. The proposed method constructs different event‐triggered adaptive fuzzy controllers for different subsystems together with switched update laws and a switching dynamic event‐triggering mechanism (DETM). Under this switching DETM, the difficulty caused by asynchronous switching between candidate controllers of subsystems and subsystems is effectively overcome, and the known limitations on maximum asynchronous time in the existing literature are not needed. Meanwhile, Zeno behavior is avoided by deriving a strictly positive lower bound of interevent times. It is guaranteed that the asymmetric tracking error constraints are never violated and the tracking error can converge to a small neighborhood of origin in a fixed‐time under arbitrary switchings. Finally, the feasibility of the derived theoretical results is demonstrated by employing a numerical example and a switched Chua's Circuit system.