提出了电液伺服系统的支持向量机的辨识建模方法。
A method of the electro hydraulic servo system identification modeling is presented based on support vector machines.
提出了电液伺服系统的支持向量机的辨识建模方法。
Study on dynamic performance of multi-DOF electro-hydraulic servo system;
讨论由随机微分方程描述的随机连续信号的辨识建模问题。
The modeling problem for stochastic continuous signals, described by stochastic differential equations, is discussed.
论述了在滚动振动试验台上进行车辆垂向悬挂系统的辨识建模方法。
Based on tests, a parametric model of vertical suspension system of railway vehicles is founded with extended least square method.
提出一种利用支持向量机(SVM)对SUH悬停动态进行辨识建模的新方法。
In this article, a new method based on support vector machine (SVM) is proposed to identify the flight dynamics of SUHs at hover.
仿真结果表明采用RBF神经网络辨识建模的方法是有效的，建立的模型精度较高。
Simulation results indicate that the modeling method by using the RBF neural network identification technique is effective with the established model featuring a relative high precision.
对糖酵解混沌振荡过程进行动态辨识建模，结果表明本算法具有较好的辨识效果和收敛性。
The dynamic glycolysis chaotic oscillation process is identified using VBL network, which shows that this algorithm has better convergence property than other algorithms.
针对非线性控制系统辨识建模较为困难的问题，利用回归型支持向量机(SVR)设计了一例控制系统的辨识建模系统。
Aiming at the problem of difficult system identification modeling for control system, an identification modeling system was designed for control system by using support vector regression (SVR).
混沌系统的建模与辨识是混沌控制的基础。
Modeling and identifying chaotic system is the basis of chaos control.
为了确保电力系统建模的精确性和安全稳定分析的可靠性，进行发电机励磁系统参数辨识测试是一项重要的工作。
To ensure the accuracy of power system modeling and reliability of stabilization analysis, it is essential to test the parameters of generator excitation system.
采用支持向量回归在线辨识算法作为建模方法建立被控对象的逆模型。
Online identification algorithm of support vector regression is used to build the inverse model for the plant.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
本文在传统时间序列分析建模方法的基础上，提出了用AR模型的新的完整而又简单的辨识方法。
On the basis of traditional time series analysis and modeling methods, the thesis puts forward a new complete and simply identification method by using ar model.
通过神经网络对一实际的油气藏系统进行建模和辨识，从而由新的神经网络模型可以获得参数识别结果。
After a practice oil or gas reservoir is modeled and identified by a neural network, the results of parameter identification are obtained by the new neural network model.
RBF神经网络以其计算量小，学习速度快，不易陷入局部极小等诸多优点为系统辨识与建模提供了一种有效的手段。
RBF neural network provides an effective means for system identification and modeling with its advantages of smaller calculation quantity and high learning speed.
本文采用机理分析与系统辨识相结合的方法，对预混点燃式气体燃料发动机进行了深入细致的建模研究。
This paper studied the models of pre-mixed spark ignition gas engine particularly, which adopted the method of mechanism analysis and system identification.
通过基于混杂系统理论的通用电力电子电路建模，在此基础上应用最小二乘法实现电力电子电路的器件参数辨识和在线故障诊断。
The parameters of these components can be identified by using least square algorithm via a general modeling method of power electronic circuits based on the theory of hybrid dynamical systems.
与改进BP算法相结合，各取所长，形成集成化动态递归神经网络建模辨识算法。
The identification algorithm integrating the forward evolutionary algorithm and improved BP algorithm for the dynamic recursive neural network model is formed.
总体测辨法负荷建模的两个主要问题是基于实测负荷特性数据的模型结构和模型参数的辨识。
The two main problem of measurement-based load modeling is model structure based on measured load characteristics data and the model parameters identification.
研究一种三自由度并联机构动力学建模及伺服系统参数辨识方法。
Aimed at a parallel manipulator with three degrees of freedom translation, a method on dynamic modeling of parallel manipulator and parameter identification of its servo system is presented.
详细叙述了用能量法对建模的非线性方程进行线性化，并且利用总体最小二乘法对此类方程进行参数辨识。
A scheme utilizing is presented that energy method linearizes nonlinear equations which are acquired by modeling and the equations are solved by the total least squares.
研究了基于曲轴角度域闭环辨识柴油机模型的建模方法。
A new method of modeling of diesel engines is adopted based on the crank-angle domain.
但研究发现，在这种线性化过程中，包含了一种新的系统辨识思想，那就是在线实时建模一实时反馈控制校正的思想。
From the linearization procedure, a new approach of system identification that is on-line real time modeling and real time feedback control correction can be found.
通过计算机仿真计算和建模实例，证实了辨识方法的正确性和状态空间模型的可靠性。
By the computer simulation and the modelling of a practical example, it is verified that the ident-fication methods are correct and the state space models are reliable.
提出了一种面向工业过程的可视化建模辨识平台的设计和实现方法。
A modeling and identification platform for industrial process is introduced, including its design and implementation.
对时序数据建模与辨识技术进行了分析，提出了使用鲁棒LS-SVM算法建立ARMA时序预测模型。
Time series modeling and identification techniques were analyzed and the ARMA time series model based on robust LS-SVM algorithm was proposed.
本文基于灰色系统理论，提出一种残商辨识修正的灰色建模方法，这种方法精度高、算法简单。
Based on the gray system theory, the paper suggests a kind of gray modeling method with incomplete-quotient distinguished correction, which is characterized by high accuracy and simple algorithm.
对于局部线性的水位流量关系，用系统辨识理论对其进行建模，利用最小二乘法，拟合精度明显提高。
The modeling based on the system recognition theory and using the least square method in the case of the partially linear relationship the simulation precision is greatly improved.
综合运用多元分析、系统辨识和多目标优化等理论，提出静态系统的建模与决策通用方法。
With such theories and methods as multivariable analysis system identification and multiobject optimization applied to. a current method is developed set up static-system models with decision making.
综合运用多元分析、系统辨识和多目标优化等理论，提出静态系统的建模与决策通用方法。
With such theories and methods as multivariable analysis system identification and multiobject optimization applied to. a current method is developed set up static-system models with decision making.
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