A review of process identification and parameter estimation techniques†
作者:
R. E. NIEMAN,
D. G. FISHER,
D. E. SEBORG,
期刊:
International Journal of Control
(Taylor Available online 1971)
卷期:
Volume 13,
issue 2
页码: 209-264
ISSN:0020-7179
年代: 1971
DOI:10.1080/00207177108931940
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
This paper represents a survey of the recent literature in the area of process identification and parameter estimation techniques applicable to lumped-parameter, deterministic, dynamical systems. Methods reviewed include statistical estimation techniques, direct and indirect methods based on optimal control theory, functional expansion, impulse response, frequency response and a number of other specific methods. Each method is presented in a consistent format which includes an outline of the general characteristics, calculational techniques, experimental techniques, reliability estimates and applications. The overall objective is to provide a basis for comparison of the methods and a guide to particular applications which will assist the reader in selecting the best method for his specific problem
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