Data-driven modelling using symbolic regression

D. Khandelwal; R. Toth

Data-driven modelling using symbolic regression

D. Khandelwal, R. Toth

Onderzoeksoutput: Bijdrage aan congres › Abstract › Academic

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This research aims at automating the process of system identification and control synthesis for complex systems by means of evolutionary symbolic tools that result in interpretable models and control laws, enabling compact and efficient controller implementations for cyber-physical systems. The work primarily focuses on building a new framework for computing data-driven models that incorporates
symbolic regression analysis.

Originele taal-2	Engels
Pagina's	111
Status	Gepubliceerd - 2016
Evenement	35th Benelux Meeting on system and Control - Kontakt der Kontinenten, Soesterberg, Nederland Duur: 22 mrt. 2016 → 24 mrt. 2016

Congres

Congres	35th Benelux Meeting on system and Control
Land/Regio	Nederland
Stad	Soesterberg
Periode	22/03/16 → 24/03/16

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AB - This research aims at automating the process of system identification and control synthesis for complex systems by means of evolutionary symbolic tools that result in interpretable models and control laws, enabling compact and efficient controller implementations for cyber-physical systems. The work primarily focuses on building a new framework for computing data-driven models that incorporatessymbolic regression analysis.

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Data-driven modelling using symbolic regression

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