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- system identification problem 系统识别问题
- Keywords: VBARX, system identification, state space model, modal parameters. 关键词：VBARX、系统识别、状态空间、模态参数。
- These may create identification problems. 这可能产生混淆问题。
- System - the neighbor system identification number assigned by the FCC. System -- 由 FCC 分配的相邻系统标识号。
- This method can effectively solve the identification problem of complicated lithological formations. 应用这一方法能有效地解决复杂岩性地层的识别问题。
- The Bayesian model and the transferable belief model (TBM) are applied separately to solve an underwater target identification problem. 本文将贝叶斯模型和TBM模型这两种数据融合方法分别应用于一个水下目标识别问题,并对应用效果进行了分析比较。
- A subspace-based state space system identification method is applied to identify the model of rotorcraft in hover. 基于其离散状态空间模型，采用子空间方法进行线性系统识别。
- It is plenty of preparation for the l atter system identification of tool breakage. 为后续的刀具破损系统辩识帮好了充分准备。
- The neural network identifier(NNI) is used to implement system identification and to model the cutting process on-line. NNC网络根据系统的当前状态实现切削参数的自适应调整来优化加工过程,提高加工效率。
- The nonlinear operator parameter identification problem is studied. By using the widely convergence homotopy algorithm, a general scheme of homotopy inversion is constructed. 摘要针对非线性算子参数识别反问题，引入具有大范围收敛特性的同伦算法，构造了同伦反演求解的一般格式。
- The dynamic recurrent neural network is analyzed, andhow to use it for system identification is also analyzed. 对所提出的动态递归神经网络进行了分析,以及如何利用它们来进行系统辨识。
- L. Ljung., System Identification Toolbox User's Guide, The Math Works Inc., July 1991. 赵清风，控制之系统识别，全华科技图书，2001。
- By inserting a LMS operator in Real-coding genetic algorithm (RGA),the algorithm showed good characteristics in IIR system identification. 相对于传统算法,将其应用于线性系统辩识,特别是IIR系统的辩识,具有明显优势。
- A new wide-area damping control (WADC) scheme based on wide-area measurements and online system identification is proposed. 提出了利用多路广域测量信号作为反馈量的新型电力系统广域阻尼控制(WADC)方法。
- The paper provides a new method for solving the bad dada identification problem: GSA-based (gap statistic algorithm) data mining technique. The GSA technique is new technique based on the cluster analysis theory and statistic analysis. 论文研究了一种新的电力系统不良数据辨识的方法：基于GSA(gap statistic algorithm)的数据挖掘技术的方法。
- As a hotspot of intellective control method, neural network has got adequately development and application in system identification and control. 神经网络作为智能控制方法的热点，在系统辨识和控制方面得到了发展和应用。
- Based on the FWD data, the system identification method figures out the dynamic parameters of a real pavement structure. 以FWD实测结果作为系统的标准响应，采用系统识别方法对实际的路面工程结构进行动态参数反演，取得了较为合理的结果。
- Through the analysis of a system identification example of X aero-engine EEC (engine electronic controller), the result shows this method is effective. 经对某航空发动机电子综合调节器燃油通道动态过程参数模型辨识的实例，验证了该算法精确快速。
- As a new type of recurrent neural network,echo state network(ESN) is applied to nonlinear system identification and chaotic time series prediction. ESN(回声状态网络)是一种新型的递归神经网络;可有效处理非线性系统辨识以及混沌时间序列预测问题.
- Iterative feedback tuning (IFT) control method can tune PID parameters without system identification, lead to better close loop behaviour. 摘要迭代反馈整定(IFT)控制方法能够在未知系统模型的前提下，完成系统控制器的参数整定，使系统控制性能趋向优化。
