Influence of horizon length of model predictive control with quadratic criterium

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F11%3APU95367" target="_blank" >RIV/00216305:26220/11:PU95367 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Influence of horizon length of model predictive control with quadratic criterium
Original language description
This work deals with various settings of prediction and control horizon of objective function in model predictive control. Both horizons have a significant impact on quality and on the effort of optimization. Longer-term prediction allows us to better capture the dynamic of the system, but on the other hand, with increasing predictive horizon, the complexity of optimization grows exponentially. In this paper, we present the results and conclusions from our simulations of first-order constrained system,which has been optimized in the sense of the regulator simplicity to quality control ratio. The system was put to the test by reference tracking on the unit step. According to our results, the optimal values of both prediction and control horizons is 2 -increasing either of these values does not bring any improvement in the quadratic criterion sense.
Czech name
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Czech description
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Publication year
2011
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

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