Dynamic extremum control

Navarro, Lluis; Zarrop, M. B.

doi:10.1049/ic:19960825

Cited by 1 publication

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“…See, for instance, Draper and Li (1951), Jacobs and Langdon (1970), Keviczsky and Haber (1974), Keviczsky et al (1979), Sternby (1980a), Sternby (1980b), Dumont and Åström (1988), Wellstead and Scotson (1990), Scotson and Wellstead (1990), Wittenmark (1993), Allison (1994), Wittenmark and Urquhart (1995), Navarro and Zarrop (1996), Krstić and Wang (1997), Krstić and Wang (2000), and Gäfvert et al (2000). In many of the earlier references the static optimization problem has mainly been discussed and it is only recently in the work by Krstić and coworkers that the problem with stability in the case of dynamics has been solved for some cases.…”

Section: Introductionmentioning

confidence: 99%

Extremal control of Wiener model processes

Wittenmark¹,

Evans²

Proceedings of the 41st IEEE Conference on Decision and Control, 2002.

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In this report we describe different approaches to extremal control. Especially, processes of Wiener type are considered. These models consists of a linear part followed by a nonlinearity. In our case we will consider nonlinearities having one extremum point. The purpose of the control is to keep the output of the process as close as possible to the extremum point. Different control schemes are discussed and analyzed. The main problem in the control of this kind of Wiener model processes is the non-uniqueness of the inverse of the nonlinearity. This causes problems, for instance, in the estimation of the states of the process and the identification in the adaptive case. AbstractIn this report we describe different approaches to extremal control. Especially, processes of Wiener type are considered. These models consists of a linear part followed by a nonlinearity. In our case we will consider nonlinearities having one extremum point. The purpose of the control is to keep the output of the process as close as possible to the extremum point. Different control schemes are discussed and analyzed. The main problem in the control of this kind of Wiener model processes is the non-uniqueness of the inverse of the nonlinearity. This causes problems, for instance, in the estimation of the states of the process and the identification in the adaptive case.

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Section: Introductionmentioning

confidence: 99%

Extremal control of Wiener model processes

Wittenmark¹,

Evans²

Proceedings of the 41st IEEE Conference on Decision and Control, 2002.

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show abstract

Dynamic extremum control

Cited by 1 publication

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Extremal control of Wiener model processes

Extremal control of Wiener model processes

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