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Content Provider | IEEE Xplore Digital Library |
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Author | de Souza, C.E. Graham C. Goodwin |
Copyright Year | 1983 |
Description | Author affiliation: Universidade Federal de Uberlandia, Brazil (de Souza, C.E.) || University of Newcastle, New South Wales, Australia (Graham C. Goodwin) |
Abstract | This paper investigates several issues relating to the effect of sampling in model reference and minimum variance control. It is shown that, in the case of stochastic systems, the continuous time response resulting from digital control is cyclostationary. A method is presented for computing the time-varying covariance between sampling instants. The results are used to examine the performance of several digital control algorithms including the minimum variance control strategy. It is shown that these algorithms can have poor continuous time responses especially for lightly damped systems. The fact that one step ahead controllers applied to lightly damped systems are overly responsive between sampling instants is well known but these issues have been largely overlooked in much of the recent literature on stochastic and adaptive control. We suggest that it may be preferable to use alternative design procedures which give suboptimal performance at the sampling instants but which actually result in superior continuous time results. The theoretical results in the paper are substantiated by both computer simulation studies and a practical application. |
Starting Page | 997 |
Ending Page | 1001 |
File Size | 325805 |
Page Count | 5 |
File Format | |
DOI | 10.1109/CDC.1983.269674 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 1983-12-01 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Robust control Sampling methods Stochastic systems Digital control Time factors Lighting control Control systems Adaptive control Computer simulation Application software |
Content Type | Text |
Resource Type | Article |
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