Stochastic modelling of computer-regulated linear plants in noisy environments †
作者:
N. A. LINDBERGER,
期刊:
International Journal of Control
(Taylor Available online 1972)
卷期:
Volume 16,
issue 6
页码: 1009-1019
ISSN:0020-7179
年代: 1972
DOI:10.1080/00207177208932333
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The purpose is the discrete-time stochastic modelling of a linear plant in single-loop direct digital feedback control, particularly with a constant reference input. The system receives dynamic inputs by the intrinsic noise of the digital quantizers, and from environmental disturbances, which are assumed to have rational spectral densities. An equation is derived in the deviation from its mean of the random feedback variable, y(k), consisting in a linear difference expression in y(k), a so-called autoregrcssion, equated to a sum of linear difference expressions in white noise sequences, so-called moving averages. The sum of these also is a moving average. The conclusion is
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