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- And the emphasis was also put on the design of the structure of RBF-ARX model, model parameter identification and optimization, etc. 着重讨论了RBF-ARX模型结构的选取,模型参数辨识,RBF参数优化等问题。
- The theory of free response from random decrement technique and model parameter identification are researched;wheelsets of locomotive and vehicle are the research object of this paper. 叙述了运用随机减量法获取自由响应的基本原理以及模态参数的提取方法。
- The design of the structure of RBF-ARX model, model parameter identification, and radical basis function (RBF) parameters optimization were discussed particularly. 着重讨论了RBF-ARX模型结构的选取、模型参数辨识、RBF参数优化等问题。
- Model Parameter Identification of LTV Systems Based on Daubechies Wavelet 基于小波的LTV系统的参数识别
- Application of Random Decrement Technique for Model Parameter Identification about Wheelsets 随机减量法识别轮对系统模态参数
- Application of random decrement technique for model parameter identification about locomotive and vehicle wheelsets 随机减量法在机车车辆轮对系统模态参数识别中的应用
- Research of Correlation Function for Model Parameter Identification about Vehicle Wheelsets 运用相关函数辨识轨道车辆轮对模态参数
- Methods of Characteristic Measurement and Model Parameter Identification for Switched Reluctance Motors 开关磁阻电动机特性检测与参数辨识方法研究
- model parameter identification 模型参数识别
- Study on model parameters identification of unsaturated soil water characteristic curve 非饱和土水特征曲线模型参数反演辨识研究
- CARMA mo del of the hydraulic servo system is established,and online identification of th e model parameter and suitable pole location are provided in it. 它建立了液压伺服控制系统的CARMA模型，给出了模型参数的在线辨识方法和控制系统的极点配置方法。
- A high precision chaotic optimization strategy was applied to parameter identification of power system static load model and the deficiency of traditional methods were effectively overcome which are easily being trapped in local optima. 将一种高精度的混沌优化策略用于电力系统静态负荷模型参数辨识，克服了传统的基于梯度寻优的辨识方法容易陷入局部最优点的不足。
- Firstly, to reduce the error of the parameter identification between the current model and the actual current, the paper analysis the differences between the current model and the actual current waveform of the step voltage input. 首先,为降低因电流模型与实际电流存在差异而引起的参数辨识误差,对阶跃电压输入下的电流响应模型与实际电流波形的差异进行了深入分析。
- Three model parameters were estimated by using the simplex method. 采用单纯形法对3个模型参数进行了估计。
- A novel method was developed for sensitivity analysis and elasto-plastic parameter identification. 摘要提出了灵敏度分析和弹塑性参数反演的一种新方法。
- A general approach based on evolutionary algorithms to inverse parameter identification problems of PDEs is introduced. 给出了一种利用演化计算方法求解微分方程中的参数识别类型反问题的方法。
- The results show that: integral ARX model gives stable and highly precise results, which is more suitable for structural parameter identification of multi-degree of freedom systems. 结果表明：整体ARX模型的识别结果较为稳定且精度较高，更适合于进行多自由度结构参数识别。
- Finally,impacts of the model parameters on decision variable are analyzed. 最后对模型参数对决策变量的影响进行了分析。
- A method of parameter identification of the time-varying bilinear systems via shifted Legendre polynomials is presented. 本文提出了利用移位勒让德(Shifted Legendrc)多项式辨识时变双线性系统的一个方法。
- This paper introduces the principles of the two migration methods and model parameter sensitivity tests for both POM and EOM. 本文主要介绍了两种偏移方法的原理,通过理论模型来验证两种方法对模型参数的敏感性。
