1980
DOI: 10.1016/0005-1098(80)90048-5
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Experimental comparison and application of various parameter-adaptive control algorithms

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Cited by 80 publications
(15 citation statements)
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“…Its main disad vantage is that it can give biased estimates unless the true system can be described by Eq. (20) with C{q~^) = 1 (Âstrôm, 1983;Kurz et al, 1980). As the parameter converges with recursive least-squares estimation, however, Fortescue et al (1981) reported that better control can be achieved and the optimal control law can even result in the case of convergence to biased estimates of the system parameters.…”
Section: Y{t) =mentioning
confidence: 99%
“…Its main disad vantage is that it can give biased estimates unless the true system can be described by Eq. (20) with C{q~^) = 1 (Âstrôm, 1983;Kurz et al, 1980). As the parameter converges with recursive least-squares estimation, however, Fortescue et al (1981) reported that better control can be achieved and the optimal control law can even result in the case of convergence to biased estimates of the system parameters.…”
Section: Y{t) =mentioning
confidence: 99%
“…It has been shown by Wittenmark (1973) and Kurz and Goedecke (1981), among others, that the closed-loop system may be unstable if the model time-delay does not coincide with a constant process time delay, or if there is a variation in the process time delay. The above two algorithms can be adapted to time-delay changes if the time delay is also estimated on-line.…”
Section: Introductionmentioning
confidence: 97%
“…Several survey articles and monographs are available which summarize the extensive research activity of the past decade (Astrom 1982, Harris and Billings 1981, Astrom 1983, Clarke and Gawthrop 1979, Parks et al 1980, Seborg et al 1983. Experimental applications of self-tuners have been reviewed by Astrorn (1983), Parks et al (1980), Kurz et al (1980), Belanger (1982) and Seborg et al (1983).…”
Section: Introductionmentioning
confidence: 98%
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“…Kurz, Isermann, and Schumann [10] have compared various parameter-adaptive control algorithms. They indicate that parameter-adaptive control can be used for tuning of digital control algorithms, for digital adaptive control of slowly time-varying processes, and for digital adaptive control of weakly non-linear and partially unstable processes.…”
mentioning
confidence: 99%