Identification and control of linear discrete-time systems with noisy output measurements†
作者:
V. A. FROST,
期刊:
International Journal of Control
(Taylor Available online 1970)
卷期:
Volume 11,
issue 4
页码: 571-580
ISSN:0020-7179
年代: 1970
DOI:10.1080/00207177008905939
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
Identification and control of linear discrete-time systems with unknown time-invariant parameters and conditional quadratic cost function are considered. Parameters of the system are unknown but subject to a given aprioridistribution. A multi-step control algorithm is developed for systems given only noisy output measurements. The control strategy generated by the algorithm is continuously revised as new data are received. An example is solved to illustrate the method. It is shown that revision of control strategies, as new data become available, requires solution of a set of recurrence coefficient equations.
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