Optimality in discrete model-following systems in the presence of unmodelled dynamics.
作者:
M. DE LA SEN,
期刊:
International Journal of Systems Science
(Taylor Available online 1989)
卷期:
Volume 20,
issue 3
页码: 523-540
ISSN:0020-7721
年代: 1989
DOI:10.1080/00207728908910145
出版商: Taylor & Francis Group
数据来源: Taylor
摘要:
The problem of optimal model-following linear control of discrete stochastic adaptive systems is studied in the presence of unmodelled dynamics. The controller complexity is restricted to that corresponding to the perfectly modelled situation. The key for a control design to be robust in the presence of unmodelled dynamics is closely related to some parametrical conditions that ensure a certain linear filter (involving parametrical uncertainties related to unmodelled dynamics) maintains the output stationarity of any stationary random input signal, as in the nominal situation. Partial results concerning robustness are obtained from stability considerations. In any case,a prioriknowledge on the unmodelled dynamics is not available for the implementation of the control law.
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