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Comparison of the closed-loop identification methods in terms of the bias distribution

机译:在偏差分布方面比较闭环识别方法

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摘要

Several schemes for plant model identification in closed-loop operation including classical direct method, two-step identification and closed-loop output error algorithms are considered. These methods are analyzed and compared in terms of the bias distribution of the estimates for the case that the noise model is estimated as well as the case that a fixed model of noise is considered (output error structure). The problems concerning the filtered direct method which is often used in the iterative identification and control scheme are mentioned. It is shown that these problems may be solved by the closed-loop output error identification method. (C) 1998 Elsevier Science B.V. All rights reserved. [References: 17]
机译:考虑了闭环运行中工厂模型辨识的几种方案,包括经典直接法,两步辨识和闭环输出误差算法。对于估计噪声模型的情况以及考虑固定噪声模型(输出误差结构)的情况,根据估计的偏差分布对这些方法进行分析和比较。提到了与迭代直接识别和控制方案中经常使用的滤波直接方法有关的问题。结果表明,可以通过闭环输出误差识别方法解决这些问题。 (C)1998 Elsevier Science B.V.保留所有权利。 [参考:17]

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