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CHAOS CONTROL IN BONHOEFFER-VAN DER POL SYSTEM USING FUZZY ESTIMATION

机译:使用模糊估计的Bonhoeffer-van der Pol系统中的混沌控制

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This paper illustrates the control of chaos using a fuzzy estimating system based on batch training and recursive least square methods for a continuous time dynamic system. The fuzzy estimator system is trained on both Ott-Geobogi-Yorke (OGY) control algorithm and Pyragas's delayed feedback control algorithm. The system, considered for this study, is a Bonhoeffer-van der Pol (BVP) oscillator. It is found that the implemented fuzzy control system constructed on OGY algorithm results in smaller control transient response than that of the OGY control algorithm itself. The transient response of Pyragas fuzzy control does not show a significant improvement in compare to the Pyragas control itself. In general the proposed control techniques show very effective low cost energy behavior in chaos control in compare to conventional nonlinear control methods.
机译:本文说明了使用基于批量训练和递归最小二乘法的模糊估计系统对混沌控制,以及用于连续时间动态系统。模糊估计系统在OTT-Geobogi-yorke(ogy)控制算法和Pyragas的延迟反馈控制算法上培训。考虑本研究的系​​统是Bonhoeffer-Van der Pol(BVP)振荡器。发现在ogy算法上构建的实现的模糊控制系统导致较小的控制瞬态响应,而不是ogy控制算法本身的响应。 Pyragas模糊控制的瞬态响应在与Pyragas控制本身相比,没有显示出显着的改进。通常,所提出的控制技术在与传统的非线性控制方法相比中,在混沌控制中显示出非常有效的低成本能量行为。

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