...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>IEEE Transactions on Fuzzy Systems >GA-based intelligent digital redesign of fuzzy-model-based controllers
【24h】

GA-based intelligent digital redesign of fuzzy-model-based controllers

机译：基于GA的模糊模型控制器智能数字化重新设计

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

Intelligent digital redesign involves converting a continuous-time fuzzy-model-based controller into an equivalent discrete-time counterpart for the digital control of continuous-time nonlinear systems by using the Takagi-Sugeno (TS) fuzzy models. In this paper, the authors present a new global state-matching intelligent digital redesign method for nonlinear systems by using genetic algorithms (GAs). More precisely, the intelligent digital redesign problem is converted to an equivalent optimization problem, and then GAs are adopted to find a solution. The search space, in which each problem variable is defined for GAs, are systematically obtained by the interval arithmetic operations. The proposed method results in global matching of the states of the analogously controlled system with those of the digitally controlled system while the conventional intelligent digital redesign method does not. The Chen's chaotic system is used as an illustrative example to show the effectiveness and the feasibility of the developed method. The proposed method provides a new approach for the digital redesign of a class of fuzzy-model-based controllers.
机译：智能数字化重新设计涉及使用Takagi-Sugeno（TS）模糊模型将基于连续时间模糊模型的控制器转换为等效离散时间副本，以进行连续时间非线性系统的数字控制。在本文中，作者提出了一种使用遗传算法（GA）的非线性系统全局状态匹配智能数字重新设计的新方法。更准确地说，将智能数字重新设计问题转换为等效优化问题，然后采用遗传算法找到解决方案。通过区间算术运算系统地获得了其中为GA定义了每个问题变量的搜索空间。所提出的方法导致了模拟控制系统的状态与数字控制系统的状态的全局匹配，而常规的智能数字重新设计方法则没有。以陈氏混沌系统为例，说明了该方法的有效性和可行性。该方法为一类基于模糊模型的控制器的数字化重新设计提供了一种新方法。

著录项

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