Data-driven modelling using symbolic regression

D. Khandelwal; R. Toth

Data-driven modelling using symbolic regression

D. Khandelwal, R. Toth

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Abstract

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.

Original language	English
Pages	111
Publication status	Published - 2016
Event	35th Benelux Meeting on system and Control - Kontakt der Kontinenten, Soesterberg, Netherlands Duration: 22 Mar 2016 → 24 Mar 2016

Conference

Conference	35th Benelux Meeting on system and Control
Country/Territory	Netherlands
City	Soesterberg
Period	22/03/16 → 24/03/16

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AU - Toth, R.

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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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T2 - 35th Benelux Meeting on system and Control

Y2 - 22 March 2016 through 24 March 2016

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Data-driven modelling using symbolic regression

Abstract

Conference

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