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چکیده
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This paper delves into the intricacies of asynchronous filtering within the context of nonlinear semiMarkov jumping systems, leveraging the T-S fuzzy modeling approach to address inherent nonlinearities. A novel framework is introduced, featuring semi Markov processes guided by an upper-level deterministic switching signal. This framework not only enhances the stability of nonlinear semi-Markov jumping systems but also mitigates conservativeness. In light of the dual asynchronous challenges posed by mode transitions and premise variable mismatches in the original system, a groundbreaking dual asynchronous filter is introduced, designed for enhanced efficiency. To tackle mode mismatches, a system-dependent mode monitoring scheme is put forward, allowing the filter to operate with a reduced number of modes, aligning more closely with the system dynamics. Additionally, considering premise variable mismatches induced by dynamic event-triggered protocols, the non-parallel distributed compensation technique is presented, bestowing greater flexibility upon the filter design. To validate the effectiveness of the proposed asynchronous filtering methodology, a numerical example is provided, demonstrating its rationality and applicability in practical scenarios.
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