Parameters Design for Logarithmic Quantizer Based on Zoom Strategy

This paper is concerned with the problem of designing suitable parameters for logarithmic quantizer such that the closed-loop system is asymptotic convergent. based on zoom strategy,we propose two methods for quantizer parameters design,under which it ensures that the state of the closed-loop system can load in the invariant sets after some certain moments. then we obtain that the quantizer is unsaturated,and thus the quantization errors are bounded under the time-varying logarithm quantization strategy. on that basis,we obtain that the closed-loop system is asymptotic convergent. a benchmark example is given to show the usefulness of the proposed methods,and the comparison results are illustrated. © 2017 jingjing yan.