Adaptive inferential control
作者:
M.T.Guilandoust,
A.J.Morris,
M.T.Tham,
期刊:
IEE Proceedings D (Control Theory and Applications)
(IET Available online 1987)
卷期:
Volume 134,
issue 3
页码: 171-179
年代: 1987
DOI:10.1049/ip-d.1987.0026
出版商: IEE
数据来源: IET
摘要:
An estimation technique for inferring infrequently measured process outputs, using other more rapidly sampled secondary outputs, is proposed. The estimator has a general structure and its parameters can be estimated online. In contrast to other estimation techniques in the literature, the proposed adaptive method requires minimal design effort and does not result in static estimation error. The problem of secondary output selection is therefore alleviated. Moreover, the estimator can track slow variations in both process and disturbance characteristics. Control schemes using the estimated values of the output are shown to yield considerably better performance than corresponding schemes which employ infrequently sampled values of the primary output.
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