nonlinear dynamic system

In Chapter 4, we study fluctuant parameter nonlinear dynamic system identification using multi-functional link artificial neural networks. And the trained network is used to realize PSR.

第4章用函数型神经网络拟合变参数非线性系统，给出了系统的性能，将其结合BP网络实现了PSR，并考察了适用范围。

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In the last part, for a class of nonlinear dynamic system, the author has designed an 'Adaptive Fuzzy wavelet Neural Network Controller' based on T-S model and slide mode control, also the asymptotical stability of the closed-loop system is proved.

在前面工作基础上，本文对一类非线性动态系统，设计了一个基于模糊小波神经网络自适应跟踪器，并且证明了自适应闭环系统的渐近稳定性。

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Control and order of Chaos are new theory and methodology of nonlinear dynamic system and nonlinear control, which have become an important part of Intelligent Control.

混沌的控制与诱导是非线性动力系统与非线性控制的新理论与新方法，是智能控制的重要组成部分。

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A model of temperature sensors with a great inertia is set up by means of a simple numerical integral method. NN Based Nonlinear Dynamic System Modeling by Using MatLab

采用一种简单的数值积分动态建模方法建立了大惯性温度传感器的数学模型。MatLab实现神经网络的非线性对象动态建模

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D_L approximates properly to theoretic value makes it an effective characteristic quantity of nonlinear dynamic system by which mode identification is done well.

它对理论分形维的适度近似性使其可以作为非线性动力系统的有效特征量，依其进行模式辨识是可行和有效的。

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In the paper certain refinements and alternative formulations are introduced into the conventional IHB method, which is applied to analyze nonlinear dynamic system.

本文通过对传统的IHB方法进行推广和形式的变化，将其应用于非线性动力系统的分叉现象。

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Nonlinear Dynamic System Identification Based on Procedure Neural Networks

基于过程神经网络的非线性动态系统辨识

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Finally, fuzzy inference model applies to nonlinear dynamic system identification and further verifies its feasibility.

最后将自适应模糊推理模型应用于非线性动态系统辨识，进一步验证了它的现实可行性。

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Recurrent neural network is more suitable for nonlinear dynamic system identification because of its unique feedback characteristics.

递归神经网络因其特有的反馈特性更适用于非线性动态系统辨识。

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Chaos is one of the kinetic forms of nonlinear dynamic system.

混沌是非线性动力学系统的一种运动形式.

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It is a favorable tool in teaching nonlinear dynamic system.

目前,该装置已成为非线性动力系统教学中的有利工具.

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According to the theory of nonlinear dynamic system, the stability boundary is the union of the stable manifolds of the equilibrium points on the stability boundary.

依据非线性动力系统理论，稳定域边界应由其所有不稳定平衡点的稳定流形的并集构成。

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Simulated results show that the proposed algorithms not only realize fully automatic optimization design for the dynamic recurrent neural network, but also improve convergent accuracy for the model identification. And this method can provide a new approach to nonlinear dynamic system identification.

模拟结果表明，提出的算法不仅实现了动态递归网络的全自动优化设计，而且明显提高了动态递归网络模型辨识算法的收敛精度，为非线性系统辨识提供了一条新的途径。

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A Neural Network Model Design with OOP and Its Application in Nonlinear Dynamic System Identification

面向对象的神经网络程序设计及其在非线性动态系统辨识中的应用

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Friction Parameters Artificiality Design of Nonlinear Dynamic System

非线性动态系统摩擦系数的仿真设计

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Dependence inferences in nonlinear dynamic system and applications

非线性动态系统相关性推断方法与应用

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Two-Dimensional Nonlinear Dynamic System Model of Interspecific Interaction and Numerical Simulation Research on It

种间作用的二维非线性动力系统模型及其数值模拟试验研究

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IRAN can improve the accuracy and generalization of model effectively for nonlinear dynamic system modeling.

IRAN算法用于非线性动态系统的在线建模，能有效地改善模型精度和泛化能力。

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modeling and forecasting of the nonlinear dynamic system neural network based on the chaotic time series

基于混沌时间序列的非线性动态系统神经网络建模与预测

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