{'fraction_non_alphanumeric': 0.016129032258064516, 'fraction_numerical': 0.0, 'mean_word_length': 5.135802469135802, '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}}
Adaptive Backstepping Quantized Control for a Class of Nonlinear Systems

Recently, an adaptive backstepping quantized control scheme was proposed. In this note, for a class of general nonlinear systems, it is shown that with a simple yet novel transformation of the control signal, all the strict assumptions on the system in early works can be relaxed, a coarser quantization can be achieved, and the stabilization error can be steered to within an arbitrarily small neighborhood of the origin.