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Generation of excit...
Generation of excitation signals with prescribed autocorrelation for input and output constrained systems
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- Larsson, Christian (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Hägg, Per (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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- Hjalmarsson, Håkan (författare)
- KTH,Reglerteknik,ACCESS Linnaeus Centre
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(creator_code:org_t)
- American Automatic Control Council, 2013
- 2013
- Engelska.
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Ingår i: 2013 American Control Conference (ACC). - : American Automatic Control Council. - 9781479901777 ; , s. 3918-3923
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Abstract
Ämnesord
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- This paper considers the problem of realizing an input signal with a desired autocorrelation sequence satisfying both input and output constraints for the system it is to be applied to. This is a important problem in system identification. Firstly, the properties of the identified model are highly dependent on the used excitation signal during the experiment and secondly, on real processes, due to actuator saturation and safety considerations, it is important to constrain the inputs and outputs of the process. The proposed method is formulated as a nonlinear model predictive control problem. In general this corresponds to solving a non-convex optimization problem. Here we show how this can be solved in one particular case. For this special case convergence is established for generation of pseudo-white noise. The performance of the algorithm is successfully verified by simulations for a few different autocorrelation sequences, with and without input and output constraints.
Ämnesord
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)
Nyckelord
- Binary
- Identification
- Design (ACC)
Publikations- och innehållstyp
- ref (ämneskategori)
- kon (ämneskategori)
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