{'fraction_non_alphanumeric': 0.01903553299492386, 'fraction_numerical': 0.0, 'mean_word_length': 5.630252100840337, '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}}
Robust finite-time filtering for singular discrete-time stochastic systems

This paper addresses the problem of singular stochastic finite-time filter design for uncertain discrete-time singular stochastic systems. The stochastic Lyapunov function method is adopted to design a filter such that for all admissible uncertainties, the filtering error system is singular stochastic finite-time stable (SSFTS) and preserves a prescribed performance level. A sufficient condition for the existence of a filter for the system under consideration is developed and the corresponding filter parameters can be calculated by solving a sequence of linear matrix inequalities (LMI). Finally, a numerical example is given to illustrate the design procedure and the effectiveness of the proposed method.