DESIGN OF FINITE-LEVEL DYNAMIC QUANTIZERS BY USING COVARIANCE MATRIX ADAPTATION EVOLUTION STRATEGY

摘要

In networked control systems, there are two issues due to communication rate constraints. One is the quantization errors, and the other is the signal saturation. In order to tackle these issues, this paper focuses on the quantizer design problem which finds a dynamic quantizer that minimizes the performance degradation caused by the quantization errors and satisfies the signal saturation constraint. For the problem, this paper proposes an easy-to-use quantizer design method based on covariance matrix adaptation evolution strategy (CMA-ES), which is a state-of-the-art metaheuristic algorithm. Then, the effectiveness of the proposed method is verified by numerical experiments.