Chaos is a random phenomenon in deterministic nonlinear dynamic systems.
混沌是确定系统的非线性动力系统中出现的随机现象。
Chaos theory is defined as the study of complex nonlinear dynamic systems.
混沌理论用于研究复杂非线性动态系统。
This paper presents a new approach of nonparametric identification for nonlinear dynamic systems.
本文提出链状非线性振动系统非参数识别的新算法。
The improved RBFNNs are suitable to identifying (modelling) or controlling nonlinear dynamic systems.
这种结构的RBFNN特别适用于非线性动力学系统的辨识（建模）和控制。
The research of fault diagnosis for nonlinear dynamic systems is more and more in-depth. A variety of new methods and new theory is produced.
目前，对非线性动态系统故障诊断的研究越来越深入，产生了多种新方法和新理论。
First, a cascade model with neural networks and linear dynamic systems, which is determinate and general, is used in modeling the nonlinear dynamic systems.
首先用一种人工神经网络和线性动态系统的串级模型对非线性动态系统建模，这种模型具有很大的确定性与通用性。
A new set membership identification algorithm was proposed for the robust identification problem of nonlinear dynamic systems with unknown but bounded noises.
针对带有未知有界噪声的非线性动态系统的鲁棒辨识问题，提出了一种新的非线性动态系统的集员辨识算法。
In this paper, the harmonic balance method has been developed for calculating the steady state response of locally nonlinear dynamic systems under periodic excitation.
利用谐波平衡法研究了局部非线性系统在周期激励下的稳态响应问题。
This paper investigates the problem of the model validation in identifying discrete-time-nonlinear dynamic systems by using neural networks with a single hidden layer.
讨论了利用仅含一个隐层的前馈多层神经网络来辨识离散时间非线性动态系统时的模型检验问题。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
本文以小波网络和多模型理论为基础，对复杂非线性动态系统的辨识和控制方法进行了研究。
Chaos related discontinuity jumps in nonlinear dynamic systems were analyzed using a second order nonlinear circuit model and degenerative equations based on the energy balance principle.
为了研究动力学系统和混沌中产生的跳跃随机性，利用能量平衡原理分析了二阶非线性电路的退化方程。
Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.
无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。
This supply the helpful theoretical tools for nonlinear dynamic analysis and design of rotor-elliptic bearing systems in rotating machines.
为旋转机械转子-圆柱轴承系统的非线性动力学分析和设计提供了必要的理论基础。
The neural network, which is a nonlinear dynamic system, has been successfully applied in the channel equalization of binary digital communication systems.
神经网络是一种非线性动力学系统，在二进制系统信道均衡实现方面得到非常成功的应用。
This is very helpful to choose suitable nonlinear oil film force model in the dynamic analysis for rotor-bearing systems.
这为进行转子-轴承系统的非线性动力学分析时选取恰当的油膜力模型提供了理论指导。
Many complicated systems, especially nonlinear dynamic time-variable system, can not be defined by conventional methods which haven't been built effective mathematic model and control method.
有许多复杂的系统是无法用传统方法对它定义，特别是那些非线性的动态时变系统，还不能建立有效的数学模型和控制方法。
A new method of robust fault diagnosis for a class of nonlinear discrete dynamic systems with uncertainties is proposed.
针对一类非线性不确定离散动态系统，提出了一种新型鲁棒故障诊断方法。
Nonlinear dynamic compensation of measurement systems is an important aspect in the field of instrument technique.
测试系统的非线性动态补偿是仪器技术的一个重要方面。
Propose a new approach to generate chaos via dynamic neural networks according to inverse optimal control for nonlinear systems.
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。
A sampled-data control system approach is presented to a class of affine nonlinear networked control systems described by a hybrid dynamic system model.
利用采样数字控制系统的方法分析了一类混杂动态系统模型描述的仿射非线性网络控制系统的稳定性问题。
The paper discusses dynamic output feedback stabilization of minimum phase nonlinear systems with single input and single output.
讨论了单输入单输出非线性最小相位系统的动态输出反馈镇定。
To handle the unsymmetrical dynamic characteristics of some nonlinear systems in chemical process, a multi-model predictive control method was proposed based on self-tuning model.
针对化工过程某些非线性系统的不对称动态特性，提出了一种基于自校正模型的多模型预测控制算法。
The research on forecasting method of chaotic economic time series is the important part of the nonlinear chaotic economic dynamic systems.
混沌经济时间序列的预测方法研究是混沌经济非线性动力系统的重要内容。
In this paper, robust finite-time control problem of nonlinear systems with dynamic uncertainties is investigated.
讨论了一类带有动态不确定项的非线性系统的鲁棒有限时间控制问题。
According to the problem of temperature control systems at present, then a novel dynamic control method are researched and designed, which is suitable for nonlinear and time-dependent systems.
针对目前温度控制中存在的问题，研究设计了一种新的适合于非线性、惯性系统应用的动态控制的方法。
An adaptive fuzzy controller is developed for continuous time nonlinear systems with high order by using fuzzy dynamic model.
采用模糊动态模型，对连续时间的高阶非线性系统进行了模糊控制。
In this paper, we prove that invertible dynamic feedback linearizability is equivalent to linearizability by adding integrators for up to 4 dimensional affine nonlinear systems.
本文证明对低于4维的仿射非线性系统，可通过可逆动态状态反馈线性化的系统一定可通过加积分器线性化。
The adaptive fuzzy control for nonlinear systems with large working range and high order is studied by using fuzzy dynamic models.
采用模糊动态模型研究大范围、高阶非线性系统的自适应模糊控制问题。
Predictable time scale of the evolution of chaotic rock mass dynamic systems is one of the most important parameters in nonlinear forecasting theory.
岩体混沌动力系统演化过程的可预测尺度是非线性预测理论研究的重要内容。
Predictable time scale of the evolution of chaotic rock mass dynamic systems is one of the most important parameters in nonlinear forecasting theory.
岩体混沌动力系统演化过程的可预测尺度是非线性预测理论研究的重要内容。
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