我们以微型计算机为主体组成一个传感器动态辨识系统。
A system consisted mainly of a microcomputer for the identification of the dynamical properties of transducers has been constructed.
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.
辨识器采用RBF神经网络结构和最近邻聚类算法，实现了对系统逆动力学模型的动态辨识。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
针对该天线展开过程的复杂性，利用三层BP神经网络对系统进行辨识，并建立了动态辨识模型。
Objecting on complexity for outspread process of HTDA, apply three-floor BP net to identifying system and set up identifiable dynamic model.
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。
For a class of complex system with interconnected nonlinear subsystems, here is introduced an integrated identification method combining steady-state identification with dynamic identification.
仿真结果表明，这种方法具有很好的抗发散性，而且状态及参数估计精度也很高，是一种行之有效的异步电动机参数的动态辨识方法。
The results of simulation is shown that this method has high accuracy and good convergence, and it is an effective parameter identification method of induction motors.
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.
无论是理想的数学模型还是实际工业模型，计算机仿真结果均证明，将P ID型网络用于动态系统辨识具有更好的逼近效果。
Simulation results based on ideal mathematical model and industrial model show that the PID Elman network is prior to the modified Elman network in identification of nonlinear dynamic systems.
分析了小波网络的性能，利用小波网络的非线性函数逼近能力，对非线性静态系统和非线性动态系统进行辨识。
The properties of the wavelet networks are analyzed. According to the approximation ability of wavelet networks, the nonlinear static system and the nonlinear dynamic system can be identified.
但迄今为止，油田动态系统的辨识却仍然局限于物质与能量的研究。
However system identification in oil field dynamic system is still only limited to material and energy study in reservoir behavior system, so for.
通过工况的识别以及模型参数的离线辨识和在线优化，混合模型可以准确地模拟复杂过程在大范围内的动态特性。
By recognition of work condition, off-line identification and on-line optimization of parameters, hybrid model can be used to simulate dynamics of complex process correctly in a large scale.
仿真研究表明，SVM具有优良的逆模型辨识能力，基于模糊控制补偿的支持向量机逆控制系统的动态性能好、跟踪精度高、鲁棒稳定性强。
Simulations demonstrate that SVM has good nonlinear approximation capability for inverse model, and the proposed control system has good dynamic and static performances as well as good robustness.
采用反向工程试验法，应用控制理论分析辨识，得到了其动态特性的数学模型。
Using reverse engineering procedure with control theory to analyze and identify, the mathematic model of dynamic performance was completed.
以高速公路宏观动态交通流模型为原型，利用分段辨识法分析了高速公路交通流特性。
It takes the expressway macro dynamic traffic flow model as prototype and analyzes the characteristics of expressway traffic flow with "Segment Identification Method".
多项式表示的涡轮发动机平衡流形往往存在偏差，会使辨识的动态参数不太准确。
There were errors in expression of equilibrium manifold with polynomial which could make the dynamic parameters of identification inaccuracy.
针对一类非线性系统给出一种基于学习方法的突变故障诊断方法，设计了一个观测器，以此来检测、辨识和诊断一类非线性系统动态系统的故障。
A diagnosis method on abrupt faults of nonlinear system in learning approach is provided by a detector which is designed to detect, identify and diagnose the faults in the dynamic nonlinear system.
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.
为了考察该系统的动态性能，采用递归BP神经网络对该系统进行辨识。
To test the dynamic property, this pneumatic fatigue test system was identified by a recursive BP neural network.
当使用系统辨识方法建立建筑墙体动态热特性模型时，通常将时间离散模型的阶次通常设为定值。
When using the system identification methods to establish the dynamic thermal model of the building wall, the order of the discrete time model was usually set up to be constant value.
本文提出了一种用遗传算法(GA)辨识加速度传感器动态效学模型参数的新方法。
In this paper, a new method is proposed to identifying the dynamic mathematical model parameters of an accelerometer using genetic algorithms (GA).
采用前馈型网络对动态系统辨识是神经网络应用到故障检测和诊断中的主要方法之一。
The one main way that NN is applied to FDD is dynamic system identification with feedforward networks.
分析了动态递归神经网络系统辨识的参数学习算法。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.
本文讨论随机连续动态系统的连续时间随机逼近(CSA)辨识的数值实现及仿真。
The numerical realization and simulation of the continuous-time stochastic approximation (CSA) identification for stochastic continuous dynamical systems are studied.
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 simulating results show that the identification networks can effectively identify the dynamic features and solve the nonlinear problems of the titling control system.
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.
本文介绍通过系统辨识方法建立换热器的动态模型。
In this paper, the dynamic model of a heat exchanger is established through an identification experiment.
在转速辨识过程中，应用了具有较好动态性能和鲁棒性的变参数PI算法。
In the process of rotor speed identification, the variable parameters PI mechanism, which has good dynamic and static performance and robustness are used.
分别采用最小二乘法和神经网络方法对上述方程进行求解，推导出了关节动态刚度和阻尼的辨识模型。
Joint dynamic stiffness and damping were identified via solving the former identification model by use of least square method (LSM) or neural network method.
应用方块脉冲函数系给出了一个动态系统辨识的新方法。
By using block-pulse functions, a new method of identing a dynamic system is presented.
在不同的故障下对辨识参数和等值前后的系统动态响应进行分析比较，检验等值效果。
Under different kinds of fault, the parameters and dynamic responses are compared to check up the validity of the model and the parameter estimation.
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