Data-driven modelling using symbolic regression

Onderzoeksoutput: Bijdrage aan congresAbstractAcademic

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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-2Engels
StatusGepubliceerd - 2016
Evenement35th Benelux Meeting on system and Control - Kontakt der Kontinenten, Soesterberg, Nederland
Duur: 22 mrt 201624 mrt 2016


Congres35th Benelux Meeting on system and Control

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