采用模糊动态模型逼近混沌非线性系统，将混沌非线性系统模糊化为局部线性模型。
Using T-S fuzzy model as an approximation, the nonlinear chaotic system is fuzzy and translated into local linear model.
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。
Based on the understanding of characters about the chaotic nonlinear dynamical systems, intelligent control methods for chaotic nonlinear systems are presented.
世界是非线性的，线性只是其近似描述，混沌的发现表明：某些确定性非线性系统具有内在的随机行为。
The world is nonlinear, linearity is oly its approximate description. The discovery of chaos has showed that some deterministic nonlinear systems exhibit inner random behavior.
利用混沌理论论证了牛顿力学在非线性系统中存在内在随机性。
The paper proves the randomicity of Newtonian mechanics in nonlinear system by applying the theory of chaos.
把非线性系统的微分几何理论与混沌系统的同步控制目标相结合，设计了蔡氏电路混沌系统的标量混沌信号同步控制的非线性反馈控制器。
Combining the nonlinear control system theory and the aim of chaos synchronization, we designed a nonlinear feedback controller for synchronizing the scalar output signal of Chua's Circuits system.
根据逆最优控制方法，针对非线性系统，提出了利用动态神经网络产生混沌的一种新方法。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
设计了一种控制非线性系统混沌的变量旋转变换(VRT)方法。
The variable rotation transformation (VRT) method is proposed to control nonlinear chaos system.
基于混沌理论及非线性系统特征的合成射流技术是国际上近几年提出的一种全新的流动主动控制技术。
Based on the chaotic theory and non-linear system theory, a new active flow control technology-the synthetic jet technology, appeared several years ago.
结果应用模拟电路的非线性系统来模拟混沌，研制成混沌图像投影演示仪。
Results By applying the nonlinear simulating circuit system, the chaotic-image simulating instrument is made.
现代科学证明过去与来来不是等价的，混沌理论说明了非线性系统长期行为的难预测性。
It is proved by modern science that the past cannot be equivalent to the future. The chaos theory has revealed the difficulty to foresee the long - term behavior of nonlinear system.
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。
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".
混沌是非线性系统中的常见现象。
Chaos phenomenon is a common phenomena in nonlinear systems.
分岔与混沌是一类非线性系统的频率响应。
Bifurcation and chaos are the frequency response of the nonlinear systems.
混沌同步在保密通信、非线性系统性能优化、大脑行为建模以及模式识别等领域有着极为重要的应用。
Chaos synchronization has very important applications in security communication, optimization of nonlinear system performance, modeling brain activity and pattern recognition.
计算表明，这一非线性系统具有尖点突变和混沌等有趣的动力学行为。
Computations show that the system has interesting dynamical behaviors such as cusp catastrophe and chaos.
混沌看作是确定性的非线性系统出现的具有内在随机性的解。
Chaos is looked as the solution with internal stochastic property in the nonlinear deterministic systems.
以船舶发电机这一大型非线性系统为例，对其进行混沌神经网络仿真建模研究，提出了用混沌神经网络仿真建模的一般思路和方法。
A general idea and a basic method for modeling with neural networks are put forward on the basis of the study of Marine synchronous generator modeling based on chaotic neural networks.
本文基于非线性系统控制理论，研究了整数阶混沌系统和分数阶混沌系统的同步控制方法及其应用。
Based on control theories of nonlinear systems, this dissertation studies the synchronization control methods and applications of integral-order and fractional-order chaotic systems.
ESN(回声状态网络)是一种新型的递归神经网络，可有效处理非线性系统辨识以及混沌时间序列预测问题。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
电力系统是典型的非线性系统，存在着复杂的混沌振荡，它威胁着系统的安全稳定运行。
Power system is a typical nonlinear system where complicated chaotic oscillations exist and threaten the secure and stable operation of power systems.
从能量角度提出了有界阻尼反馈控制方法，通过减少系统能量实现一类非线性系统的混沌控制。
From energy point of view, a bounded damping feedback control method is proposed to achieve chaos control by reducing system energy for a class of nonlinear system.
为了实现一类非线性系统的鲁棒混沌反控制，提出非线性不确定系统鲁棒混沌反控制的非线性比例积分微分控制(NPID)方法。
In order to realize chaos robust anti-control of a class of nonlinear system with uncertainties, a nonlinear proportional integral differential (NPID) control method was put forward.
混沌现象在自然界中非常普遍，混沌运动是许多非线性系统的典型行为。
Chaotic motion, which widely exists, can describe the very typical behavior of many nonlinear systems.
由于混沌通信系统为非线性系统，因此，采用非线性系统理论进行分析。
As a nonlinear system, the chaotic communication system will be analyzed on the nonlinear systemic theory.
本论文以混沌优化、支持向量机二种计算智能方法为主，以此研究非线性系统的建模与控制。
This paper focuses on two kinds of computational intelligence, that is, COA and SVM, for modelling and controller design of nonlinear systems.
采用非线性系统无源化方法设计该混沌系统的反馈镇定器，利用L2性能准则进行干扰抑制。
And then, passivity is adopted to design feedback stabilization controller and L2-gain is adopted to restrain the disturbances.
采用非线性系统无源化方法设计该混沌系统的反馈镇定器，利用L2性能准则进行干扰抑制。
And then, passivity is adopted to design feedback stabilization controller and L2-gain is adopted to restrain the disturbances.
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