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  • 标题:Parameters Design for Logarithmic Quantizer Based on Zoom Strategy
  • 本地全文:下载
  • 作者:Jingjing Yan
  • 期刊名称:Journal of Control Science and Engineering
  • 印刷版ISSN:1687-5249
  • 电子版ISSN:1687-5257
  • 出版年度:2017
  • 卷号:2017
  • DOI:10.1155/2017/4028258
  • 出版社:Hindawi Publishing Corporation
  • 摘要: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.
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