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Discussions on observer design of nonlinear positive systems via T-S fuzzy modeling

机译:基于T-S模糊建模的非线性正系统观测器设计的探讨

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摘要

In this paper, the problems of state estimation for nonlinear positive systems based on T-S fuzzy modeling will be investigated. It will be shown that some new issues naturally arise when designing observers for positive nonlinear systems by using T-S fuzzy modeling approach. The results are developed in the following two cases: first, for systems that can be modeled by T-S fuzzy model composed of all positive local subsystems, a novel quadratic Lyapunov function is proposed to reduce the conservativeness by some other existing methods; second, for derived T-S fuzzy model comprising non-positive subsystems, the observer design is converted into the problem of stability for a positive linear system, upon which, a new algebraic algorithm for constructing a observer is given. Two numerical examples are given to demonstrate the effectiveness and applicability of the obtained theoretical results.
机译:本文研究了基于T-S模糊建模的非线性正系统的状态估计问题。将显示出,当使用T-S模糊建模方法设计正非线性系统的观测器时,自然会出现一些新问题。在以下两种情况下得出结果:首先,对于可以通过由所有正局部子系统组成的T-S模糊模型建模的系统,提出了一种新颖的二次Lyapunov函数,以通过其他一些现有方法来降低保守性。其次,对于包含非正子系统的导出T-S模糊模型,将观测器设计转换为正线性系统的稳定性问题,然后给出构造观测器的新代数算法。给出了两个数值例子,以证明所获得的理论结果的有效性和适用性。

著录项

  • 来源
    《Neurocomputing》 |2015年第1期|70-75|共6页
  • 作者单位

    College of Engineering, Bohai University, Jinzhou 121013, Liaoning, China,Chongqing SANY High-intelligent Robots Co., Ltd., Chongqing 401120, China;

    College of Engineering, Bohai University, Jinzhou 121013, Liaoning, China;

    College of Engineering, Bohai University, Jinzhou 121013, Liaoning, China;

    Chongqing SANY High-intelligent Robots Co., Ltd., Chongqing 401120, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    T-S fuzzy system; Observer; Positive nonlinear system; Lyapunov function;

    机译:T-S模糊系统;观察员正非线性系统;李雅普诺夫函数;

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