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<p style='text-indent:20px;'>In this paper, an adaptive neural network command filter controller is investigated for a class of non-strict feedback stochastic nonlinear systems with full-state constraints. By using the command filter approach and error compensation mechanism, the "explosion of complexity" problem caused by the backstepping method and the filtering errors are eliminated. In order to avoid excessive and burdensome computations and to ensure that the backstepping method worksdoi:10.3934/mcrf.2022024 fatcat:gfw2r3uv7zemlkpyuc3utvyg5y