Neural network quantizers for discrete-valued input control

Abstract

The performance deterioration of the system due to quantization is a serious problem that affects the networked control systems. Appropriately designed dynamic quantizers can reduce this performance degradation. However, most of the existing dynamic quantizers are based on a model of the plant and in many situations this model cannot be used. Therefore… (More)
DOI: 10.1109/ASCC.2017.8287485

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