This article investigates the issue of adaptive neural fault-tolerant control for the nonlinear stochastic systems with state quantization and time-varying input delay.By designing a compensation system to eliminate the adverse effect caused by input delay,and the radial basis function neural networks are applied to handle some unknown terms.In order to re-solve the discontinuity problem brought by states quantization,this article constructs one lemma to establish the relationship between unquantized signals and quantized signals,and then proposes an adaptive neural networks fault-tolerant control algo-rithm.Under constructed control law and quantizer,all signals maintain bounded in probability.At last,the practicality of the developed control scheme is validated by a simulation experiment.
维普
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