A nonlinear system identification method using particle swarm optimization is proposed.
提出了一种应用粒子群优化的非线性系统辨识方法。
A nonlinear system identification method ba sed on hybrid evolution strategy is proposed.
提出了基于混合进化策略的非线性系统辨识方法。
A new scaling kernel support vector regression was proposed for nonlinear system identification problem.
提出一种新的尺度核支持向量回归方法，并应用于非线性系统辨识问题。
Examples of nonlinear system identification are given to verify the feasibility and effectiveness of the proposed method.
在非线性结构系统识别中验证了该方法的可行性与有效性。
As a new type of recurrent neural network, echo state network (ESN) is applied to nonlinear system identification and chaotic time series prediction.
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。
Mathematical model establishment in nonlinear system such as automobile engine is still very hard. Artificial neural network theory brings to us a new method in nonlinear system identification.
建立汽车发动机这样非线性系统的数学模型非常困难，人工神经网络理论为非线性系统的辨识提供了新的方法。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
非线性结构的参数估计和系统识别是取得和验证非线性结构数学模型的一门学科。
A nonlinear system parameters identification problem is investigated in this paper by introducing a relaxation method used for solving the linear equations of the system.
研究了非线性参数系统模型的识别问题，通过引入求解线性方程组的松驰法思想，构造了一类新的迭代识别算法。
According to the selected scheme an equation is constituted for the observation. Identification algorithm for the nonlinear dynamic system, is deduced following the maximum likelihood principle.
然后根据选定的量测方案建立观测方程，并按极大似然原理导出非线性动力学系统的参数辨识算法。
The question about parametric identification of nonlinear vibration system based on time-frequency analysis was studied.
对基于时-频相结合的非线性振动系统的参数识别问题进行了研究。
This paper investigates the identification of unknown nonlinear dynamical system using multilayered feedforward neural network with a single hidden layer.
本文探讨了只用单个隐含层的前向神经网络对未知非线性动态系统的识别。
An online adaptive fuzzy neural network identification and robust control approach were proposed for the adaptive control problem of SISO nonlinear system.
针对单输入单输出非线性系统的自适应控制问题，提出了一种在线自适应模糊神经网络辨识与鲁棒控制的方法。
This thesis carries out studies around the parameter identification of excitation system and carries out parameter identification of liner circle and nonparametric identification of nonlinear circle.
本文围绕励磁系统参数辨识这一题目进行研究，进行了励磁系统线性环节和非线性环节的参数型或非参数型的辨识。
For a class of complex system with interconnected nonlinear subsystems, here is introduced an integrated identification method combining steady-state identification with dynamic identification.
针对一类具有相互关联非线性子系统的复杂系统，提出了一种稳态辨识与动态辨识相结合的集成辨识方法。
In view of modeling problems of nonlinear and dynamic system, a self organizing fuzzy identification algorithm (SOFIA) is presented based on t s model in this paper.
针对复杂非线性动态系统的模糊建模问题，基于T -S模型提出一种自组织模糊辨识算法。
Perfect results of nonlinear systems identification used traditional methods established on the linear or intrinsically linear system are difficult to get.
使用建立在线性或本质线性系统基础上的传统辨识方法对各种非线性系统建模、辨识难以获得理想结果。
An identification procedure of nonlinear unit feedback system is investigated by means of operator notation and Fourier transform, and some formulas for identification are given.
用算子符方法及傅里叶变换研究了单位反馈线性系统的一种辨识方法，并给出了辨识算式。
Based on identifying the time-delay system of HVAC, the paper researches the linear and nonlinear systems identification methods with MATLAB system identification toolbox and neural network theory.
运用MATLAB辨识工具箱和神经网络理论，通过对暖通空调系统中常见的时滞对象的辨识，研究了基于神经网络的线性和非线性的辨识方法。
A combined iteration method for load identification is proposed to analyze the nonlinear dynamical system by joining finite element method with active control method.
针对一类非线性系统提出了一种新的载荷识别方法，组合迭代法。
Contraposing the nonlinear process, the applications of neutral network in system identification are presented, and how they can be easily implemented in MATLAB.
针对热工过程中普遍存在的非线性环节，更进一步介绍了神经网络在非线性系统中的应用，并给出了相对直观的MATLAB实现方法。
The platform verified that the proposed variable load DC Motor Speed Control System with nonlinear state space model and parameter identification method is effectiveness.
利用该平台验证了提出的变负载直流电机双闭环调速系统的非线性状态空间模型及其参数辨识方法的有效性。
Fuzzy system identification and control is an important branch of the identification and control of general nonlinear system that is a complex research field.
非线性系统辨识和控制是一个复杂而又非常重要的研究领域，其中模糊系统辨识及其控制研究是一个重要的分枝。
A method of identification and state observer design of a nonlinear distributed parameter system is studied in this paper. A new approach for this kind of systems is proposed.
本文研究了一类非线性分布参数系统的模型辨识及其状态观测器的设计方法，为这类系统的研究提供了新的途径。
Support Vector Regression (for short SVR) is an important branch of SVM, SVR has been applied to system identification, nonlinear system prediction and good results have been demonstrated.
支持向量函数回归(SVR)是SVM的一个重要分支，它已经成功地应用于系统识别、非线性系统的预测等方面，并取得了较好的效果。
In the process of identification, a bilinear model, based on which the identification equations are obtained, is used to describe the memorial restoring force of the nonlinear hysteretic system.
在识别过程中，将非线性迟滞系统的记忆恢复力用双折线模型来描述，并由此模型写出非线性迟滞系统的参数识别方程。
The simulating results show that the identification networks can effectively identify the dynamic features and solve the nonlinear problems of the titling control system.
仿真结果表明：所采用的辨识网络能够对倾摆控制系统的动态特性进行有效的辨识，可以解决倾摆控制系统中的非线性问题。
The macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
The macro model of traffic flow in freeway is a high order, nonlinear and time variant system which makes the problem of its identification become very difficult.
高速公路交通流模型是一个高阶非线性时变系统，这使得该模型的辨识问题成为一个非常困难的问题。
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