• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Mathematical Problems in Engineering >Multimodel Representation of Complex Nonlinear Systems: A Multifaceted Approach for Real-Time Application
【24h】

Multimodel Representation of Complex Nonlinear Systems: A Multifaceted Approach for Real-Time Application

机译：复杂非线性系统的多模型表示：实时应用的多方面方法

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Presenting an important potential in the representation of nonlinear systems, the multimodel approach remains an attractive axis for research. One of the important problems in the multimodel structure concerns the validity calculation which is a fundamental point especially when the process is corrupted with noise and/or its parameters are of high variations. A new approach based on the use of both two type of validity is proposed. A developed specification of the need of each one is explained by an optimization procedure. The conduct of this approach requires, first, the classification of the numerical data into a set of clusters. The frequency-sensitive competitive learning (FSCL) algorithm is used to select the number of models and the fuzzy k-means algorithm identify the operating clusters. From the satisfactory results in terms of precision and robustness obtained on theoretical examples, we are incited to confirm our contribution to real process reactor. The results obtained are compared to the classical approaches showing its ability to represent adequately the nonlinear process with a superior precision and accuracy and from this the classic strategy of multimodel representation is oriented towards a multifaceted approach.
机译：多模型方法展现了非线性系统表示中的重要潜力，仍然是吸引人的研究轴。多模型结构中的重要问题之一是有效性计算，这是一个基本点，尤其是当过程被噪声破坏和/或其参数变化很大时。提出了基于两种有效性的使用的新方法。通过优化程序来解释每个需求的已开发规范。这种方法的实施首先需要将数值数据分类为一组聚类。频率敏感竞争学习（FSCL）算法用于选择模型数量，而模糊k均值算法则用于识别运行集群。从在理论实例上获得的关于精度和鲁棒性的令人满意的结果中，我们被激发来确认我们对实际过程反应堆的贡献。将获得的结果与经典方法进行比较，表明经典方法能够以优异的精度和准确性来充分表示非线性过程，因此经典的多模型表示策略将朝着多方面的方法发展。

著录项

  • 来源
    《Mathematical Problems in Engineering》 |2018年第13期|1829396.1-1829396.15|共15页
  • 作者

    Hichem Bennasr; Faouzi MSahli;

  • 作者单位

    Inst Super Etud Technol Sfax ISET Route Mahdia Km 2-5 BP 88 A El Bustan 3099 Sfax Tunisia;

    ENIM Rue Ibn Eljazzar Monastir 5019 Tunisia;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号