In this paper, global bifurcations in a class of nonlinear dynamical systems is investigated.
研究了一类含平方、立方非线性项的两自由度系统的全局分岔。
This paper extends the vibrational control theory to the nonlinear dynamical systems with time lags.
本文研究采用振荡控制方法，来改善非线性动力系统的特性。
In Chapter 1, a brief review concerning the theory of local bifurcation and chaos of nonlinear dynamical systems is introduced.
第一章，简单介绍与本文有关的动力系统局部分岔及混沌理论。
The route of transition from quasi-periodicity to chaotic motion in nonlinear dynamical systems has been well accepted theoretically.
非线性动力学系统中由拟周期运动走向混沌的道路在理论上已为人们所公认。
The problem of robust stabilization for a kind of nonlinear dynamical systems with the matched uncertainties is studied in this paper.
本文综述了含有参数激励的非线性动力系统的响应、分岔与混沌问题的研究现状和方法，讨论了所存在的问题及其发展趋势。
Based on the understanding of characters about the chaotic nonlinear dynamical systems, intelligent control methods for chaotic nonlinear systems are presented.
在了解混沌非线性动力系统特征的基础上，本文就混沌非线性系统的智能控制方法进行了研究。
It is motivated by the need of practical application, and need to give up the existing concept of "chaos must come from the deterministic nonlinear dynamical systems".
需要根据实际问题研究的需要，放弃“混沌一定来自确定性非线性系统”的现有概念。
Chaotic behaviours in nonlinear control and parameter-optimized systems are studied in this paper from the viewpoint of qualitative theory of nonlinear dynamical systems.
从非线性动态系统的定性理论出发，研究非线性控制和优化系统中的浑沌运动。
In (1 + 1) -dimensional nonlinear dynamical systems, it is believed that different kinds of localized excitations exist in different types of nonlinear models respectively.
在(1 + 1)维非线性动力学系统，人们发现不同的局域激发模式分别存在于不同的非线性系统。
In this article, the authors introduce a method of controlling certain types of nonlinear dynamical systems whose dynamics can be modelled by a multilayer BP neural network.
从某类可以被多层BP神经网络建模的非线性系统出发，给出一种控制方法。
The bifurcation would occur in the nonlinear dynamical systems. The theory of bifurcation provides us a new method to explore the strange phenomena in the social-economic systems.
在非线性动态系统中可能出现分岔现象，分岔理论为我们研究社会经济系统中的某些异常现象提供了一种新方法。
This paper develops a novel multilayer neural networks based on adaptive prediction technique for a class of nonlinear dynamical systems, and the prediction mechanism is analyzed .
针对一类非线性动态系统，提出了一种新的基于多层神经网络的自适应预测器，并对基于神经网络的预测机理进行了分析。
This paper develops a novel backpropagation networks based adaptive multistep prediction technique for a class of nonlinear dynamical systems, and the prediction mechanism is analyzed.
本文针对一类非线性动态系统，提出了一种新的基于后向回归网络的自适应多步预测方法，并对基于神经网络的自适应预测机理进行了分析。
As a new intelligent control method, the neural-network-based technique provides a potential tool for solving the control problems of highly uncertain, complex, nonlinear dynamical systems.
神经网络控制作为一种全新的智能控制方法，为解决高度不确定性和严重非线性的复杂动态系统的控制问题开辟了一条新的途径。
An improved adjoint operator method is employed to compute the third order normal form of six dimensional nonlinear dynamical systems and the associated nonlinear transformation for the first time.
本文首次用一种改进的共轭算子法研究了六维非线性系统的三阶规范形以及所用的非线性变换。
The nonlinear systems have been described into T-S fuzzy dynamical models, and the global fuzzy models have been translated into the system with uncertainties.
将非线性系统用t - S模糊动态模型描述，并将全局模糊系统模型表示成不确定系统形式。
The stable problem of nonlinear systems is studied based on fuzzy dynamical model, and the global fuzzy model is translated into the system with uncertainties.
基于模糊动态模型研究非线性系统的稳定控制问题，将全局模糊系统模型表示成不确定系统形式。
Research result show that this method has advantages of high-precision and convenient calculation in researching the dynamical characteristics of the kind of nonlinear systems.
研究表明该方法对研究此类非线性系统动力特性具有精度高、计算方便的优点。
On account of its wide applications and complexities, the nonlinear studies on continuous dynamical systems have been attached more weight recently.
连续动力系统的非线性动力学研究，由于其应用的广泛性与问题的复杂性，近年来越来越受到重视。
The global regulation problem of nonlinear dynamical control systems is studied, and the state feedback regulation method is presented. With the method, the nonlinear systems is globally stable.
考虑非线性动态控制系统的全局调节问题，提出了一种状态反馈调节方法，使非线性系统是全局稳定的。
An adaptive tracking controller based on dynamical neural network identifier for uncertain nonlinear chaos systems is presented.
针对不确定非线性混沌系统，提出了一种基于动态神经网络辨识器的自适应跟踪控制新方法。
Numerical simulation implies that the proposed method is a new effective approach to dynamical responses of stochastic nonlinear systems.
数值模拟结果与数值解比较表明：正交多项式逼近法能有效地解决此类非线性随机动力系统的响应问题。
In this paper, the nonlinear dynamical behaviors and bifurcation series of complex systems are studied.
从理论上研究了由几个混沌系统复合而构成的新系统的非线性动力学特性和分岔序列。
A direct adaptive control approach is proposed for a class of uncertain discrete time nonlinear non-minimum phase dynamical systems.
针对一类不确定的离散时间非线性非最小相位动态系统，提出了一种基于神经网络和多模型的直接自适应控制方法。
Lattice systems and nonlinear wave equations are two kinds of very important infinite dimensional dynamical systems.
格点系统与非线性波动方程是两类很重要的无穷维系统。
The conditions for chaotic motions of some dynamical systems with nonlinear structures are studied in this paper.
讨论一类非线性结构动力系统混沌运动的条件。
The work of the paper is to perfect and set up a system of encryption and decryption algorithms based on composite nonlinear discrete chaotic dynamical systems.
补充并纠正了一些算法证明。本文改进后的算法具有以下特点：多种防御措施，用户拥有加密与解密的自主控制权，易于追踪；
The work of the paper is to perfect and set up a system of encryption and decryption algorithms based on composite nonlinear discrete chaotic dynamical systems.
补充并纠正了一些算法证明。本文改进后的算法具有以下特点：多种防御措施，用户拥有加密与解密的自主控制权，易于追踪；
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