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- error parameter identification 误差参数辨识
- Application of Sensitivity Analysis in Inertial Platform Error Parameters Identification 灵敏度分析在惯导平台误差参数辨识中的应用
- 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。
- 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 paper presents methods of automatic checking adjustment of additional systematic error parameter in adjustment computations in side direction net. 提出了用于边角网平差计算的附加系统误差参数自检校平差方法,分析了边角网的可靠性和精度。
- 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。
- Subsequently, the least mean square (LMS) algorithm is chosen for the adaptive parameter identification to ensure the modeling accuracy. 本课题选取最小均方根法(LMS)进行模型参数的自适应辨识,以保证建模精度。
- 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。
- It transforms the inverse problem of parameter identification into solution of optimization problem using evolutionary algorithm. 该方法把参数识别反问题转化为优化问题用演化方法求解。
- This study describes an optimal design technique of input forces for the parameter identification of a Remotely Operated Vehicle (ROV). 本研究之主题为输入力的最佳设计方法,此方法可用以鑑定水下无人遥控载具的系统参数。
- Application of Prony method to parameter identification of synchronous generators[J].Electric Power Automation Equipment,2006,26(9):1-4. Prony法在同步发电机参数辨识中应用[J].;电力自动化设备;2006;26(9):1-4
- The analysis method can provide reference for dynamic parameter identification and fault diagnosis of machine foundation subgrade system. 该方法可为动力机器-基础-地基体系的动态参数识别以及机组故障诊断和处理提供参考。
- This paper mainly investigated the excitation system parameter identification basedon the M sequence of pseudo random signal. 本文主要研究用M序列伪随机信号对励磁系统参数的辨识问题。
- This paper lays emphasis on the research of internal connection of various time varying parameter identification methods. 摘要本文重点研究了现有各种时变参数识别方法的内在联系及各自特点。
- It is convenient to adapt the model to the change of selected error parameters' number and the variation of platform type, thus ensuring the model's transferability. 该模型既便于随着所选择误差参数的增减而进行扩充或简化,也便于根据平台型号的不同做相应的修正,从而保证较好的可移植性。
- Secondly, total error models for an NC machi ne tool, were developed, the error parameters were identified and the software e rror compensation was accomplished. 其次是数控机床全误差模型的建立,误差参数辨识和软件补偿的实现。
- For the nonstandard multi-sensor fusion system with observation system error, an effective observation system error parameters estimation model is established. 针对存在量测系统误差的非标准多传感器融合系统,构建了一种有效的系统误差参数估计模型。
- An inverse process method via complex domain displacement analysis was established for elasto-plastic parameter identification in geotechnical engineering. 相对于常规的基于有限差分的灵敏度数值计算方法,该方法更为高效。
- Abstract: The empirical mode decomposition (EMD) combined with the random decrement technique (RDT) was pro-posed for structural modal parameter identification. 摘要结合南京长江大桥结构健康监测信号,提出将经验模态分解(EMD)与随机减量技术(RDT)相结合进行结构模态参数识别的方法。