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Iterative learning ...
Iterative learning control of nonlinear non-minimum phase systems and its application to system and model inversion
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- Markusson, Ola (författare)
- KTH,Signaler, sensorer och system,Reglerteknik,Royal Institute of Technology, Sweden
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- Hjalmarsson, Håkan, 1962- (författare)
- KTH,Reglerteknik,Royal Institute of Technology, Sweden
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- Norrlöf, Mikael, 1971- (författare)
- Linköpings universitet,Reglerteknik,Tekniska högskolan
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(creator_code:org_t)
- 2001
- 2001
- Engelska.
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Ingår i: PROCEEDINGS OF THE 40TH IEEE CONFERENCE ON DECISION AND CONTROL. - 0780370619 ; , s. 4481-4482
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Abstract
Ämnesord
Stäng
- In this contribution we present a model based method for reference tracking in the Iterative Learning Control (ILC) framework. The method can be applied to nonlinear, possibly non-minimum phase, systems. The idea is to use the inverse of a linearized model in the ILC update. In the non-minimum phase case, the batch property of ILC is explored by means of non-causal filtering. Apart from reference tracking, this method is useful for system and model inversion - a problem that arises in many disciplines where nonlinear systems and models are involved, e.g. maximum likelihood identification and input design for identification for control. The method is illustrated on a numerical example.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Automation & Control Systems
- Electrical & Electronic
- Automatic control
- Reglerteknik
- SRA - ICT
- SRA - Informations- och kommunikationsteknik
- TECHNOLOGY
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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