A Model-tuning Approach to Sampled-data Dynamic Quantizer Design

Abstract

Despite extensive research on the optimal design of dynamic quantizers for discrete-valued input systems, the design problem concerning sampled-data quantizers for continuous-time systems remains unexplored. Thus, this paper formulated the design problem of a sampled-data dynamic quantizer composed of a discrete-time dynamic quantizer, a sampler, and a holder. Then we presented a model-tuning approach for solving the problem. In the proposed method, we assume the design procedure: (i) to discretize a continuous-time model and (ii) to derive an optimal discrete-time dynamic quantizer for the discrete-time model obtained by (i). Then, we find a continuous-time model, which enables us to design a satisfactory dynamic quantizer. Finally, we evaluated and discussed the proposed method with several examples.