实时辨识的英文

• real-time identification

• "实时"英文翻译    actual time; real time; true ...
• "辨识"英文翻译    identification
• "辨识" 英文翻译 :    identification◇辨识符号 identification mark; 辨识技术 identification technique; 辨识器 identifier; 辨识信号 identification signal
• "继时辨别" 英文翻译 :    successive discrimination
• "实时" 英文翻译 :    actual time; real time; true time
• "实时；实时" 英文翻译 :    realtime
• "辨识力" 英文翻译 :    identification
• "辨识器" 英文翻译 :    identifier
• "可辨识性；能辨识性" 英文翻译 :    identifiability
• "实时，（真）实时（间）" 英文翻译 :    real time
• "变量辨识器" 英文翻译 :    variable identifier
• "辨识备呀案" 英文翻译 :    identify alternatives
• "辨识标记" 英文翻译 :    id mark
• "辨识标准" 英文翻译 :    appreciative standard
• "辨识测验" 英文翻译 :    recognition test
• "辨识法术" 英文翻译 :    spellcraft
• "辨识符号" 英文翻译 :    identification mark
• "辨识技术" 英文翻译 :    identification technique
• "辨识理论" 英文翻译 :    theory of neural networks
• "辨识设备" 英文翻译 :    identification equipment
• "辨识系统" 英文翻译 :    fingerprint sensor technology; ocr; voice recognition
• "辨识项集" 英文翻译 :    evidence set
• "辨识信号" 英文翻译 :    identification signal
• "辨识信息" 英文翻译 :    identifying information
• "辨识形状" 英文翻译 :    recognize

• Real time identification for objective images using matlab toolbox
  环境下目标图像的实时辨识方法
• Adaptive estimation methods are needed for on - line identification of non - linear hysteretic structural systems under dynamic excitations
  因此,对迟滞非线性结构采用自适应估计方法进行实时辨识显得尤为必要。
• Using the techniques of artificial neural networks and numerical simulation , a new approach of controlling deformation path based on identification of material parameter is proposed
  本文所采用的应变路径控制模型是建立在材料物性参数m值实时辨识前提下以数值模拟和神经网络技术为基础的控制模型。
• Based on the former researches , the speed estimation and rotor flux observation methods are studied using the theory of model reference adaptive system . considering the time variability of the stator and rotor parameters of induction motors , the methods make real - time identification of the parameters to retain the dynamic performance of the drive system
  在前人研究的基础上，本文应用基于超稳定性理论的模型参考自适应系统，对无速度传感器矢量控制系统的转速估计和转子磁链观测进行研究，考虑电机定转子参数的时变性，对电机的一些定转子参数进行实时辨识，以保持系统的动态性能。
• Neural networks can be viewed as a universal approximator for nonlinear functions , but the multi - layer feed - forward neural network which be used usually is a static state network in nature , it is disagree with the real - time identification for dynamic system . moreover , recurrent neural networks can simulate the state memory mechanism of dynamic system , so it can be utilized as the model of dynamic time delay system
  神经网络具有逼近任意连续非线性函数的能力，但常用的多层前馈式反传网络本质上是一种静态网络，不适合动态系统的实时辨识，而递归神经网络能够实现对动态系统状态记忆机制的模拟，因此更适合于作为动态时延系统的模型。
• To great extent the performance of field oriented control depends on the precise measurements of motor parameters . the initial values of motor parameters can be measured by the no - load and locked rotor tests . but some parameters will vary with the temperature rise and magnetic saturation , and they must be real time identified
  矢量控制系统的性能很大程度上依赖于电机参数的准确测量，利用空载、堵转实验只能得到电机定转子参数的初值，而电机的一些参数会随着温升和磁路饱和发生变化，需进行在线实时辨识。