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Optimal Experiment ...
Optimal Experiment Design in Closed Loop with Unknown, Nonlinear and Implicit Controllers using Stealth Identification
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Potters, M. G. (författare)
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Bombois, X. (författare)
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Forgione, M. (författare)
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E-Modén, P. (författare)
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Lundh, M. (författare)
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- Hjalmarsson, Håkan (författare)
- KTH,Reglerteknik
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Van den Hof, P. M. J. (författare)
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(creator_code:org_t)
- IEEE, 2014
- 2014
- Engelska.
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Ingår i: 2014 European Control Conference, ECC 2014. - : IEEE. - 9783952426913 ; , s. 726-731
- Relaterad länk:
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Ämnesord
Stäng
- We present a novel optimal experiment design method that is applicable to linear time-invariant systems regulated by unknown, nonlinear and implicitly-defined controllers. Current methods require an explicit expression for the controller in order to construct the optimal excitation spectrum. Consequently, these are limited to linearly-controlled systems. The identification scheme suggested in this paper circumvents the aforementioned requirement by ensuring that the excitation signal remains unnoticed by the controller, i.e., the identification data is gathered in an open-loop fashion. Our theoretical analysis is complemented with a numerical study on a six-parameter, single-input single-output linear system controlled by an MPC. We find that our method generates least-costly excitation signals which deliver identified models that lie close to the true system whilst honoring quality constraints, validating the novel optimal experiment design framework.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Controllers
- Design
- Experiments
- Identification (control systems)
- Invariance
- Linear systems
- Time varying control systems
- Excitation signals
- Identification data
- Identification scheme
- Linear time invariant systems
- Optimal excitation
- Optimal experiment design
- Quality constraints
- Single input single output
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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