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Robust-Adaptive synchronization of drive and response systems using coupled chaotic adaptive synchronous observers

机译:使用耦合混沌自适应同步观测器的驱动和响应系统的鲁棒自适应同步

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In this paper, robust-adaptive control methodology is developed by augmenting the a-modification as well as the use of filters with already established control scheme based on nonlinear and adaptive coupled chaotic adaptive Synchronous observers for synchronization of the nonlinear drive and response systems, by the same authors. The purpose of this amendment is to develop an adaptive control scheme capable of synchronizing two nonlinear systems even impelled by the disturbances and noises. The effect of disturbances and effect of noise reduces the efficacy of previously proposed control methodology. The a-modification facilitates the adaptation of unknown parameters with bounds in the divergence of their values and thus enhances the robustness in adaptive control scheme. Along with the disturbance rejection by a-modification, the effect of noise in output measurement is catered by the use of low pass filters. The authenticity of proposed amendments is validated by simulation of synchronization of FitzHugh-Nagumo neural drive and response system under the effect of disturbances and noise.
机译:在本文中,通过基于非线性和自适应耦合混沌自适应同步观察者增强了一种修改,通过增强了一种改进的滤波器来开发鲁棒自适应控制方法,以及使用基于非线性和自适应耦合的混沌自适应同步观察者,用于同步非线性驱动和响应系统,通过同一个作者。这种修正案的目的是开发一种能够同步两个非线性系统的自适应控制方案,甚至通过扰动和噪音驾驶。扰动的影响和噪声影响降低了先前提出的控制方法的功效。 A-Modification有助于将未知参数的适应与它们的值的分歧中的界限进行了改编,从而提高了自适应控制方案的鲁棒性。随着通过修改的干扰抑制,通过使用低通滤波器来迎合输出测量中的噪声对输出测量的影响。通过扰动和噪声的影响,通过模拟Fitzhugh-Nagumo神经驱动和响应系统的同步来验证所提出的修正案的真实性。

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