The theory of fuzzy neural network (FNN) modeling for nonlinear systems is presented.
论述了模糊系统和神经网络相结合的非线性系统辨识理论。
Modeling for nonlinear soft measuring by means of neural network can be used to estimate variables that can not be measured on line.
用神经网络为非线性软测量建模，用于推断估计不可在线测量的变量。
An approach for building accurate and fast running T-S models is proposed based on summarization of the experience of nonlinear modeling.
在总结非线性建模经验的基础上，给出了一种建立精确且运行速度快的T - S模型的方法。
Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.
支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。
The model-free control is especially useful for real nonlinear systems whose orders and modeling are very difficult to be known and time varying.
无模型控制方法非常适用于实际的阶数难以知道或难以辨识，且是时变的非线性系统。
Fuzzy modeling and control for a class of affine nonlinear systems is studied.
针对一类仿射非线性系统，研究其模糊建模与控制问题。
The contents include the nonlinear modeling of MESFET's, the method of quick convergence for obtaining the steady state response of nonlinear state equations and computing program.
内容包括FET的非线性电路模型、状态方程向稳态的快速收敛方法及相应程序的编制。
Hybrid modeling for a kind of nonlinear system with hysteresis is studied, which combined prior knowledge with neural networks black-box modeling.
利用先验知识和神经网络黑箱建模相结合，对一类复杂滞后非线性系统进行了杂交建模研究。
In control field, there are so many difficult problems to overcome in modeling and controller design for nonlinear and unstable systems, which makes it necessary to do research in the lab first.
在控制领域中，非线性不稳定系统的建模和控制器的设计有许多需要克服的难点问题，有必要首先在实验室中研究。
The support vector regression method is used for modeling the nonlinear process, and the predictive functional control method is used to control.
利用支持向量回归的方法对非线性过程进行建模，采用预测函数控制方法进行控制。
Inspired by the idea of combining models to improve prediction accuracy and robustness, a new method for nonlinear soft sensing modeling of chemical processes is proposed.
根据几个模型相加可提高模型的预测精度及鲁棒性的思想，提出了一种非线性软测量建模的新方法。
B-spline neural network is a three layer feedforward neural network and can be used in modeling, control, pattern recognition for nonlinear systems and other fields.
样条神经网络是一个三层前向神经网络，可广泛用于非线性系统的建模、控制和模式识别等领域。
A modeling method for nonlinear dynamic system based on Support Vector Regression (SVR) was proposed in this paper.
提出一种基于支持向量回归机(SVR)的非线性动态系统建模方法。
In this paper, a nonlinear discrete time domain modeling and computer aided analysis technique is presented for Switched DC-DC Converters.
本文介绍了开关型直流变换器的非线性离散时域模型的建立及其机辅分析方法。
The key problems of finite element modeling and analysis of nonlinear structural dynamics for the whole firing course of towed howitzer are investigated.
研究牵引火炮全发射过程非线性结构动力学有限元建模和分析中的关键问题。
A real time modeling approach for nonlinear discrete time system is presented by using the concept of time variant recurrent neural network and the theory of two dimensional system.
利用时变反馈神经网络的概念及二维线性系统理论给出了非线性离散系统的一种实时建模方法。
A mixed autoregressive moving average (MARMA) model is proposed for modeling nonlinear time series.
提出了一类用于非线性时间序列建模的混合自回归滑动平均模型(MARMA)。
For dynamic systems with complex and nonlinear characteristics, the traditional modeling methods cannot describe its dynamic properties.
对于工业生产中的一些复杂、非线性系统，传统的建模方法很难描述其系统特性。
Based on observer method, an algorithm of actuator fault detection and diagnosis is presented for a class of nonlinear control systems with system modeling errors and sensor modeling uncertainties.
针对一类具有系统建模误差以及含传感器模型不确定项的非线性控制系统，本文提出了一种用于执行器故障检测与诊断的观测器方法。
With the FEM modeling for the curved weld line TWBs, the paper makes the comparison of linear and nonlinear weld line TWBs, which can help to offer the reference for the engineering application.
通过以上研究，得到了板厚比、焊缝位置和曲线焊缝半径对于拼焊板成形高度以及焊缝移动量的模型和规律性，为工程设计提供了参考依据。
The modeling theory and method of black box 'for weakly dynamic nonlinear systems are studied and the modeling results for the practical systems are also presented in the paper.
本文研究弱非线性动态系统“黑箱”建模的理论和方法，并简要给出根据此方法建模的结果。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
Support vector machines (SVM) is a new nonlinear modeling method which is suitable for solving small samples and high dimension modeling problems.
支持向量机(SVM)作为一种新型的非线性建模方法，适合于处理小样本和高维数的建模问题。
D assembly FE modeling and dynamic elastoplastic analysis are carried out for the obturator structure of a floating gun breech mechanism by using nonlinear finite element code MSC MARC.
利用大型非线性有限元MARC ，对某自动迫击炮浮动炮闩闭气结构，进行了三维装配体有限元建模和动态弹塑性分析，获得了关键闭气构件的应力、塑性应变和变形的动态响应。
MARE, a nonlinear finite element modeling of the tension device in the skin pass mill for hot strip was built. The accuracy and reliability of this model was proved by experiments.
MARE建立了平整分卷机组中张力装置的非线性有限元模型，通过实验验证，证明了模型的准确性与可靠性。
The problem of fuzzy modeling for a class of nonlinear time-delay systems with constraint inputs by fuzzy T-S model is addressed.
利用模糊T-S模型对一类输入受限的非线性时滞系统进行建模；
The introduction of the notion of Large-signal Scattering Function for modeling nonlinear RFPA exploits a novel way for the researchers to solve the existence p.
大信号散射函数概念的提出给人们一种全新的思路来解决模型的建立所存在的各种问题，但同时也给科研工作者提出了更多的挑战。
We obtain some results as follows:In chapter 2, a new mixture autoregressive moving average model is proposed for modeling nonlinear time series.
提出了一类新的用于非线性时间序列建模的混合自回归滑动平均模型。
A combined theoretical and experimental study of a nonlinear vibration with hysteresis characteristics is done, and a new method for modeling of the nonlinear vibration system is presented.
用理论和试验相结合的手段研究一类迟滞非线性振动系统的动力建模，提出一种新的建模方法，用此方法建立非线性模型用来描述这类系统的动态特性。
The nonlinear equation modeling the 2-d cochlear mechanics is established, and an effective method-bias technique for computing this equation is presented.
本文建立了二维非线性耳蜗力学模型，并提出一种有效方法——偏移技术来求解该模型。
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