首页> 外文期刊>Systems Analysis Modelling Simulation >APPLICATION OF A NEW THEORY OF FUZZY CHAOS FOR THE SIMULATION AND CONTROL OF NONLINEAR DYNAMICAL SYSTEMS
【24h】

APPLICATION OF A NEW THEORY OF FUZZY CHAOS FOR THE SIMULATION AND CONTROL OF NONLINEAR DYNAMICAL SYSTEMS

机译:一种新的模糊混沌理论在非线性动力学系统仿真与控制中的应用

获取原文
获取原文并翻译 | 示例

摘要

We describe in this article a new theory of chaos using fuzzy logic techniques. Chaotic behavior in nonlinear dynamical systems is very difficult to detect and control. Part of the problem is that mathematical results for chaos are difficult to use in many cases, and even if one could use them there is an underlying uncertainty in the accuracy of the numerical simulations of the dynamical systems. For this reason, we can model the uncertainty of detecting the range of values where chaos occurs, using fuzzy sets theory. Using fuzzy sets, we can build a new theory of Fuzzy Chaos, where we can use fuzzy set to describe the behaviors of a system. We illustrate our approach with two cases: Chua's circuit and Duffing's oscillator.
机译:我们在本文中描述了一种使用模糊逻辑技术的混沌新理论。非线性动力学系统中的混沌行为很难检测和控制。问题的一部分是,在很多情况下很难使用混沌的数学结果,即使可以使用它们,动力学系统的数值模拟的准确性也存在潜在的不确定性。因此,我们可以使用模糊集理论对检测出现混乱的值的范围的不确定性进行建模。使用模糊集,我们可以建立模糊混沌的新理论,在这里我们可以使用模糊集来描述系统的行为。我们用两种情况说明我们的方法:蔡氏电路和达芬振荡器。

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