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novel parameter identification
相关语句
  新型参数辨识
     A novel parameter identification algorithm is presented which is suitable for raw material blending and batching problem in the industry production. Both application examples and Aimulation results are given.
     提出了一种适用于工业生产中原料混合及配料问题的新型参数辨识算法,给出了应用实例及仿真结果
短句来源
  “novel parameter identification”译为未确定词的双语例句
     A Novel Parameter Identification Algorithm for Nonstationary Stochastic System
     一种新型的非平稳随机系统参数辨识算法
短句来源
     A Novel Parameter Identification Method for General Inverter-fed Induction Motor
     变频器驱动下感应电机参数的一种辨识方法
短句来源
     In this paper a novel parameter identification method for linear systems is developed based on the neural computing theory of Hopfield Neural Networks (HNN). First,the I/O difference equations are formulated. Then the relevant parameters of the difference equations are estimated using HNN whose energy function is defined as the quadratic form of the modeling error.
     基于Hopfield网络的神经计算原理,提出了一种新的线性系统参数辨识方法.首先建立系统的I/O差分方程,以模型误差二次型作为HNN的能量函数,辨识差分方程的系数矩阵,最终得到线性系统的全部矩阵参数.数值仿真的结果证明了该方法的有效性
短句来源
     In this paper a novel parameter identification method for linear system is developed based on the optimization computing theory of Hopfield Neural Networks (HNN).
     基于Hopfield神经网络的优化计算原理,提出了一种新的线性系统参数辨识方法.
短句来源
     In this paper, a novel parameter identification method used for hydrodynamic forces of water-exit body is proposed, based on TSK fuzzy system.
     提出了基于TSK模糊逻辑系统智能技术的物体垂直出水水动力参数辨识新方法。
短句来源
  相似匹配句对
     on the Novel
     说小说
短句来源
     In the novel.
     在小说中,夏洛特塑造了一个外表普通。
短句来源
     Parameter Analysis of a Novel Server Model
     一种通信服务器新模型的参数分析
短句来源
     An Novel Method of S-Parameter Extraction for Chip
     管芯S参数的提取技术
短句来源
     A Novel Parameter Identification Algorithm for Nonstationary Stochastic System
     一种新型的非平稳随机系统参数辨识算法
短句来源
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A novel parameter identification algorithm is presented which is suitable for raw material blending and batching problem in the industry production. Both application examples and Aimulation results are given.

提出了一种适用于工业生产中原料混合及配料问题的新型参数辨识算法,给出了应用实例及仿真结果

In this paper a novel parameter identification method for linear systems is developed based on the neural computing theory of Hopfield Neural Networks (HNN).First,the I/O difference equations are formulated.Then the relevant parameters of the difference equations are estimated using HNN whose energy function is defined as the quadratic form of the modeling error.The complete set of system parameters (A,B,C,D) is calculated...

In this paper a novel parameter identification method for linear systems is developed based on the neural computing theory of Hopfield Neural Networks (HNN).First,the I/O difference equations are formulated.Then the relevant parameters of the difference equations are estimated using HNN whose energy function is defined as the quadratic form of the modeling error.The complete set of system parameters (A,B,C,D) is calculated finally.Simulation results prove the validity of the proposed method.

基于Hopfield网络的神经计算原理,提出了一种新的线性系统参数辨识方法.首先建立系统的I/O差分方程,以模型误差二次型作为HNN的能量函数,辨识差分方程的系数矩阵,最终得到线性系统的全部矩阵参数.数值仿真的结果证明了该方法的有效性

Joints are widely used in many kinds of engineering structures, which often leads to the structures to exhibit local nonlinearities, and moreover, they are difficult to model because the complexity of configuration and operating mode. Therefore, parameter identification technique is usually used to model the joints and estimate the model parameters. A novel parameter identification method of nonlinear joints inside a structure is introduced in this paper, by expressing the force transmitted by the joint...

Joints are widely used in many kinds of engineering structures, which often leads to the structures to exhibit local nonlinearities, and moreover, they are difficult to model because the complexity of configuration and operating mode. Therefore, parameter identification technique is usually used to model the joints and estimate the model parameters. A novel parameter identification method of nonlinear joints inside a structure is introduced in this paper, by expressing the force transmitted by the joint as a function of its mechanical state and assuming that the other part of the structure is known. In general, the force transmitted by the joints inside a structure and their mechanical state are difficult to measure. To overcome this difficulty, the algorithm of stochastic optimal control is used to identify the force transmitted by the joints and their mechanical state. After that, parameters of the joints can be identified by least squares parameter estimation method. Numerical simulation examples are also given to validate the effectiveness of the proposed method.

Intheanalysisofdynamiccharacteristicsofengineeringstructures,theconnectingelements(joints)playanimportantroleintheoveraldy-na...

 
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