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The H∞ filtering problem for a class of networked nonlinear Markovian jump systems subject to randomly occurring distributed delays, nonlinearities, quantization effects, missing measurements and sensor saturation is investigated in this paper. The measurement missing phenomenon is characterized via a random variable obeying the Bernoulli stochastic distribution. Moreover, due to bandwidth limitations, the measurement output is quantized using a logarithmic quantizer and then transmitted to thedoi:10.15388/namc.2021.26.22355 doaj:958a15aa73ab41818420b848cded3419 fatcat:hshbqijnh5bzfoxgk4u6nkwjbi