The paper offers a method of identification of dynamic loads applied to a continuous system.
本文提出连续系统动态载荷识别的一种时域方法。
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.
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。
Loading identification, like the system parameter identification and dynamic characteristics modification, is an inverse problem of structural vibration.
载荷识别与系统参数辨识、动力特性修改等都属于振动的反问题。
A new analysis method has been provided for dynamic load identification of a discrete system intime domain, it solves the inverse problem by means of Duhamel integral in forward analysis.
本文给出了离散系统动态载荷识别的一种新的时域分析方法，它是用正分析的手段来求解反问题的。
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.
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。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed. D.
分析了动态递归神经网络系统辨识的参数学习算法。
The Automatic identification System (AIS) will provide new means of ship dynamic surveillance and identification for ship traffic service.
自动识别系统(ais)将为船舶交通服务提供新的船舶动态监测与识别手段。
This paper points out that the existence of the dynamic properties of measuring devices will interference system identification accuracy to a certain degree.
本文指出测量装置动特性的存在将给系统辨识的精度带来一定的影响。
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。
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。
Applying wavelet transform, differential equation of multi-scale structural dynamic was obtained and the parameter recognition of damage identification was analyzed in structural dynamic system.
应用小波变换，推导了多尺度结构动力方程来分析结构动力系统中的损伤识别。
On the basis, the experiment of dynamic identification and tracking of moving objects is done, and the system can recognize the moving objects which appear randomly and record its movement path.
在此基础上系统作了物体的动态识别和跟踪实验，能对画面中随机出现的运动物体进行识别和对其运动轨迹进行跟踪。
The parameter learning algorithm of dynamic recurrent neural network based on system identification is analyzed.
分析了动态递归神经网络系统辨识的参数学习算法。
Wavelet analysis provided more diagnostic information about bolt anchorage quality and was more suitable for the identification of dynamic test signal for bolt anchorage system with impairments.
小波分析提供了更多关于锚杆锚固质量的特征信息，更适合于处理锚杆系统有损伤情况下动测波形的识别。
The identification test system was built for the dynamic moisture performance of building envelopes.
建造了建筑围护结构材料的辨识试验系统。
According to the feature of calculation of time-variety dynamic system in damage identification, the state space method was introduced to simulate structural damage progress.
根据时变动力系统的结构损伤识别数值计算的特点，应用状态空间法来对结构损伤动力过程进行数值模拟。
According to the collision cause of Radio Frequency Identification system, this paper analysis the work and principles of process of binary searching algorithm and dynamic binary searching algorithm.
然后根据射频识别系统碰撞产生的原因，研究分析了二进制搜索算法、动态二进制搜索算法的工作原理和过程。
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。
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.
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。
The system identifier based on RBF neural network which applies nearest neighbor clustering algorithm realizes the identification of the inverse dynamic system model.
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.
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。
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