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Time domain system identification of unknown initial conditions

机译:未知初始条件的时域系统识别

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System identification is a method for using measured data to create or improve a mathematical model of the object being tested. From the measured data however, noise is noticed at the beginning of the response. One solution to avoid this noise problemis to skip the noisy data and then use the initial conditions as active parameters, to be found by using the system identification process This paper describes the development of the equations for setting up the initial conditions as active parameters.The simulated data and response data from actual shear buildings were used to prove the accuracy of both the algorithm and the computer program, which include the initial conditions as active parameters The numerical and experimental model analysis showed that the value of mass, stiffness and frequency were very reasonable and that the computed acceleration and measured acceleration matched very well.
机译:系统识别是一种使用测量数据来创建或改善被测对象的数学模型的方法。然而,从测量的数据中,在响应开始时会注意到噪声。避免这种噪声问题的一种解决方案是跳过噪声数据,然后将初始条件用作活动参数,这可以通过系统识别过程找到。本文介绍了将初始条件设置为活动参数的公式的开发。用实际剪力房的仿真数据和响应数据验证了算法和计算机程序的准确性,包括初始条件作为主动参数。数值和实验模型分析表明,质量,刚度和频率值都非常高。合理,并且计算出的加速度和测量的加速度非常匹配。

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