{'fraction_non_alphanumeric': 0.012345679012345678, 'fraction_numerical': 0.0, 'mean_word_length': 5.822429906542056, '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}}
Exponential Synchronization of Discrete-Time Chaotic Delayed Neural Networks

This paper investigates exponential synchronization problem of general discrete-time chaotic delayed neural networks. Based on Lyapunov stability theory, the dynamic output feedback controller is established to guarantee exponential stable synchronization of both master and slave systems with time delays. The control design equation is shown to be a linear matrix inequality (LMI) standard problem which can be easily solved by MATLAB LMI Control Toolbox to determine the synchronization control law. Most chaotic neural networks can be transformed into this general chaotic neural network to be synchronization controller designed in a unified way.