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Gain estimation for...
Gain estimation for Hammerstein systems
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- Barenthin, Märta (author)
- KTH,Reglerteknik,Royal Institute of Technology, Sweden
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- Enqvist, Martin, 1976- (author)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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- Wahlberg, Bo, 1959- (author)
- KTH,Reglerteknik,Royal Institute of Technology, Sweden
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- Hjalmarsson, Håkan, 1962- (author)
- KTH,Reglerteknik,Royal Institute of Technology, Sweden
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(creator_code:org_t)
- 2006
- 2006
- English.
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In: IFAC Proceedings Volumes (IFAC-PapersOnline). ; , s. 784-789
- Related links:
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https://urn.kb.se/re...
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https://doi.org/10.3...
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https://urn.kb.se/re...
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Abstract
Subject headings
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- In this paper, we discuss and compare three different approaches for L2- gain estimation of Hammerstein systems. The objective is to find the input signal that maximizes the gain. A fundamental difference between two of the approaches is the class, or structure, of the input signals. The first approach involves describing functions and therefore the class of input signals is sinusoids. In this case we assume that we have a model of the system and we search for the amplitude and frequency that give the largest gain. In the second approach, no structure on the input signal is assumed in advance and the system does not have to be modelled first. The maximizing input is found using an iterative procedure called power iterations. In the last approach, a new iterative procedure tailored for memoryless nonlinearities is used to find the maximizing input for the unmodelled nonlinear part of the Hammerstein system. The approaches are illustrated by numerical examples.
Subject headings
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Keyword
- Hammerstein system
- L2-gain
- power iterations
- describing function
- SRA - ICT
- SRA - Informations- och kommunikationsteknik
- TECHNOLOGY
Publication and Content Type
- ref (subject category)
- kon (subject category)
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