Frequency-dependent approach to model validation for iterative identification and control schemes
Frequency-dependent approach to model validation for iterative identification and control schemes
复制标题
用于迭代识别和控制方案的模型验证的频率相关方法
DOI：
10.1049/iet-cta:20070483
复制
发表时间：
2009
影响因子：
2.6
通讯作者：
R. Vilanova
中科院分区：
文献类型：
--
作者：
P. Balaguer;R. Vilanova
经典验证方法“接受”或“拒绝”模型作为某种预期用途的植物的有效表示。该过程没有深入了解为什么模型没有用或改善模型。是否可以改善现有模型？特别是我们提出了一个新的验证过程，该过程通过执行频率依赖的模型验证来克服这些问题。结果。
Classical validation methods ‘accept’ or ‘reject’ a model as a valid representation of a plant for some intended use. However, this binary decision has several problems. First, models are neither good nor bad but have a certain valid frequency range and secondly the procedure gives no insight into why the model is not useful or how to improve the model. Moreover within the framework of iterative identification and control design the model validation issue arises the following requirements: (i) Is it possible to improve an existing model? (ii) How can the model be improved? and (iii) What performance increase can provide the designed controller? These facts question the suitability of traditional model validation schemes in general and their suitability for iterative control schemes in particular. We present a new validation procedure that overcomes these problems by performing a frequency-dependent model validation. The validation procedure is then more informative because of its frequency information content. As a result the same model can be validated for some frequency band and invalidated for a distinct frequency range.