In process modelling, knowledge of the process under consideration is typically partial with significant unknown inputs (disturbances) to the model. Disturbances militate against the desirable trait of model reproducibility. "Grey-box" identification can assist, in these circumstances, by taking advantage of the two sources of information that may be available: any invariant prior knowledge and response data from experiments.
Practical Grey-box Process Identification: Theory and Applications (Advances in Industrial Control)
Подробная информация о книге «Practical Grey-box Process Identification: Theory and Applications (Advances in Industrial Control) ». Сайт не предоставляет возможности читать онлайн или скачать бесплатно книгу «Practical Grey-box Process Identification: Theory and Applications (Advances in Industrial Control) »
