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。
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。
This thesis deals with the research and development of stamping die CAD system for carriage.
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.
在系统辨识理论的实际应用中根据不同的对象和建模的不同目的去选择合适的辨识算法是一件不容易的事。
In the practice application of identification theory, it is difficult to select an appropriate identification algorithm for different object and different model building purpose.
用以精确测量衰减电流：运用系统辨识理论辨识衰减电流曲线的数学模型；并通过该模型推导出同步电机参数。
The mathematical models of decay current is identified by using the theory of system identification, and the parameters of synchronous machine are derived from the above mentioned models.
现代控制理论的重要分支——系统辨识技术的飞速发展，为各类动态系统的状态预报开辟了一条更加广阔的道路。
Rapid development of a branch of the modern theory of controll-technique of system identification gives a wider way for the prediction for the behavior of various dynamic systems.
为了实现理想的模糊控制，基于对象的模糊系统辨识研究具有非常重要的理论与实际应用价值。
The research of fuzzy system identification is very important for achieving satisfactory performance of fuzzy control in both theory and application aspects.
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。
Based on wavelet networks and multiple model adaptive control theories, the identification and control methods for the complicated nonlinear dynamic systems are proposed.
该模型采用基于神经网路理论的模糊模型参数辨识方法，很适合于复杂系统的模糊预测和控制。
The model is suitable for fuzzy prediction and control of complex system because the recognition method of fuzzy module parameters based on the theory of neural network is adopted.
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.
作者借助于线性系统理论讨论了乳突型N房室模型的参数辨识方法。
The Method for identifying the parameter of mammillary N-compartment model is discussed in this paper on the basis of linear system theory.
神经网络技术是智能控制理论的重要组成部分，当前神经网络在系统辨识与控制中的应用还存在许多问题。
Neural networks technique is an important part of intelligent control theory. But, there are still many problems in the application of neural networks used for process identification and control.
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.
系统辨识是控制理论设计的基础。
对煤矿危险与有害因素进行了辨识，由事故致因理论出发找到构成煤矿安全系统的人、机、环境、管理四个要素。
Mine risk factors have been identified, and based on the theory of the accident causing to find the coal mine safety system consists of man, machine, environment, and management.
系统辨识是控制理论研究的一个重要分支，它是控制系统设计的基础。
System identification is an important branch of control theory study, and it is also the foundation of control system design.
在此基础上，系统地综述模糊辨识领域存在的理论与实际问题，并探讨了今后的研究方向。
Based on the discussion, the paper also summarizes systematically fuzzy identification theory and practical problems, and points out the research trends in the future.
传统的控制与辨识理论主要是基于线性系统的，对非线性系统的辨识还有待于完善。
Traditional controlling and identifying theories are good used for linear system identifications, as for non-linear systems, they are difficult to identify or even impractical.
本文首先介绍了我国控制论专家韩志刚先生运用控制理论中的系统辨识方法提供的一种预测理论——多层递阶方法。
Han. an domestic expert on cybernetics. It is the result of applying the system-distinguished method out of controlling theory to prediction.
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。
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.
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。
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.
介绍一种基于模糊控制理论的定子电阻辨识器的直接转矩控制交流电机调速系统。
This paper presents a kind of direct torque control with a stator resistance estimator for an AC motor speed-governing system based on fuzzy logic control.
实验结果和理论计算结果比较表明：该方法为参数时变线性系统的模态参数辨识提供一条新途径。
The identification results have indicated that the proposed method is an effective tool for modal parameters identification of time-variant linear system.
基于全阶观测器，采用李亚普诺夫稳定性理论对电机转速进行在线辨识，实现了异步电机无速度传感器直接转矩控制系统。
Motor speed was estimated on line base on Lyapunov's stability theory, and in this the speed sensorless direct torque control emulation system was designed.
本文通过理论分析，仿真及实验对伺服系统负载惯量辨识及柔性伺服系统谐振抑制的方法进行了较为深入地研究。
In this thesis, methods of inertia identification and resonant depression are researched deeply through theoretical analyses, combined with simulations and experiments.
对非线性系统的任意逼近性是模糊逻辑系统能够用来辨识复杂工业过程、给出合理控制的理论依据。
That discretional close in upon nonlinear system is the theoretic gist of fuzzy logic system to identify process of complicated industry and educe reasonable control.
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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