并对系统模型参数的设置及系统模型本身提出了修改意见。
Some opinions are presented for setting the parameters of the prediction system and correcting the logic model of this system.
本文以遗传算法为基础，提出了一种辨识双线性离散动态系统模型参数的方法。
The paper based on genetic algorithms proposes a method for identification of bilinear discrete dynamic model parameters.
实验结果表明，利用该方法可以得到与实际系统模型参数较为接近的对象模型参数。
The experimental results indicate that the plant model parameters approaching to the practical system can be achieved utilizing this method.
以使用铂热电阻的计算机测温系统为例，给出了利用最小二乘法求取系统模型参数的方法。
Taking computer temperature measuring system with platinum RTD as an example, the author puts forward a method for obtaining system model parameters by using the least square.
分析了离散时间线性系统模型参数估计误差的收敛性和收敛速度，对参数估计误差服从渐近正态分布的一些条件进行了讨论。
The convergent property and convergent rate of parameter estimation error are analyzed . Some sufficient conditions are given to guarantee the asymptotic normality of parameter estimation error.
通过队列模型，不仅可以可视地对系统和各种参数加以表示(如超时和平均响应时间)，而且还能够了解其对系统的影响。
With queuing models, you both visually represent a system and vary parameters, such as timeouts and average response times, and understand their effects on a system.
第二和第三个模型是针对PUREXML1和PUREXML2参数的purexml模型，可从数据库或本地文件系统获取它们。
The second and third models are the PUREXML models for parameters of PUREXML1 and PUREXML2, retrieved from the database or the local file system.
通过在控制过程中分别对控制网络和模型网络进行自适应，解决了控制对象参数的时变问题，显著改善了整个系统的鲁棒性。
With separately adapting of the control network and the model network in control, the problem of time-variance of plant parameters is solved, and the robustness of whole system is improved obviously.
其主要特点是能够提供一个跟踪网络来辩识系统模型，进而确定控制器的网络参数，实现间接自适应神经网络控制。
Its major feature is that it can provide a tracing network to identify system model so as to determine the network parameters of the controller and realize an indirect adaptive neural network control.
利用这一模型，分析了包长、纠错编码方式的选取以及竞争窗口长度等重要参数的选取对系统性能的影响。
Using this model, we analyzed the influence of some important parameters, such as packet size, forward error correction coding scheme and contention window size, to the system performance.
该模型在连轧机参数优化设计和辊型配置优化设计系统中均得到应用，效果良好。
The model was used in the rolling parameters optimal design system and the rolling shape optimal design system, and good results were obtained.
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。
The parameter estimation and system identification of nonlinear structures is a subject which serves to obtain and verify mathematical model of nonlinear structures.
进而确定舵机系统模型结构和相关参数，完成了控制器的设计。
The control actuator system model structure and related parameters are determined, and the controller is designed.
两种控制律不需要知道系统参数，对模型误差具有鲁棒性。
Both control laws do not require the knowledge of the system parameters and are robust to modeling errors.
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。
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.
由结构光测量系统的基本原理出发，建立系统的数学模型，并对系统设计参数进行讨论。
According to the system principle, we construct system mathematics model, at the same time we discuss the system parameters.
对阀控马达系统寻求PID控制参数进行校正，为了更加真实的反映实际情况，以阀控马达系统为例建立了离散仿真模型。
PID parameters are seek to correct valve-controlled motor system., to reflect actual conditions truer dispersed artificial model is set up with valve-controlled motor for the example.
典型的教练机训练效能计算模型对飞机的航空电子系统、操纵系统考虑不足，对飞行参数选择有局限性。
The typical computation model of training effectiveness of training plane has limitation in selection of flight parameters as well as insufficient attention to avionics and control system.
针对汽油机进气系统的非线性特性，基于汽油机进气通路动态模型，给出了进气压力与系统参数之间的关系。
Taking the nonlinear character of intake system into account, the relation between manifold pressure and intake system parameters is given based on the intake dynamic model.
介绍农村运输安全性系统的组成要素、特性及以系统主要素为参数的一定运输系统事故的数学模型。
This paper introduces component parts, characteristics of countryside transport safety system, and a mathematical model of transport accident based on parameters from the main system components.
本文提出一种在频率域内直接估计随机动态系统的连续时间模型参数的快速迭代算法。
In this paper, a direct procedure for estimating the parameters of a continuous-time model of a dynamical stochastic system is presented.
电机控制模型中的建模误差，以及系统运行中的参数漂移，诸如电机的定、转子电阻随着温度发生变化，相当于对所研究的控制系统加入了扰动。
The modelling inaccuracy and parameter drift in motor control, such as the stator and rotor resistance shift with temperature, act as the disturbance in the control system.
所建立的系统模型反映了系统动态特性参数与铰链弹性五杆机构结构参数、电机电磁参数之间的关系。
The relation between the dynamic characteristics and the system parameters such as material parameters, electromagnetism parameters, structure parameters, is derived in the dynamic equation.
此无模型控制方法非常适用于实际的模型参数难以辨识，且是时变的非线性系统。
The model-free control is especially useful for real nonlinear systems whose model parameter are very difficult to be identified and time varying.
采用常规的电力系统元件模型和参数进行数值仿真所得的频率变化曲线与实测曲线偏差较大。
As for the numerical simulation by traditional power system component models and parameters, the obtained dynamic frequency curves evidently diverge from measured ones.
采用常规的电力系统元件模型和参数进行数值仿真所得的频率变化曲线与实测曲线偏差较大。
As for the numerical simulation by traditional power system component models and parameters, the obtained dynamic frequency curves evidently diverge from measured ones.
应用推荐