Research Output per year
Personal profile
Research profile
Dhruv Khandelwal is a PhD candidate at the Control System group in the Department of Electrical Engineering at Eindhoven University of Technology. His current research focus is on automating the process of obtaining data-driven models of dynamical systems using concepts inspired from computer intelligence and computational linguistics.
Academic background
Dhruv Khandelwal completed his Bachelors studies at the Department of Electrical Engineering in Vellore Institute of Technology in 2013. He received his Masters degree at the Control Systems group in the Department of Electrical Engineering (EE) at Eindhoven University of Technology (TU/e) in 2015. in January 2016, he started working as a PhD candidate in the Control Systems group (in EE, TU/e) under the supervision of dr. Roland Tóth. He works on the project titled 'Control And Data-driven modelling Using SYmbolic regression (CADUSY)'. Presently, he is also co-supervised by dr. Maarten Schoukens.
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Data structures
Engineering & Materials Science
Grammar
Mathematics
Dynamical systems
Engineering & Materials Science
Failure analysis
Engineering & Materials Science
Identification (control systems)
Engineering & Materials Science
Model structures
Engineering & Materials Science
Dynamical system
Mathematics
grammars
Physics & Astronomy
Network
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Research Output 2016 2020
Automating data-driven modelling of dynamical systems: an evolutionary computation approach
Khandelwal, D., 4 Mar 2020, (Accepted/In press) Eindhoven: Technische Universiteit Eindhoven. 255 p.Research output: Thesis › Phd Thesis 1 (Research TU/e / Graduation TU/e)
Data-driven modelling of dynamical systems using tree adjoining grammar and genetic programming
Khandelwal, D., Schoukens, M. & Toth, R., 1 Jun 2019, 2019 IEEE Congress on Evolutionary Computation, CEC 2019 - Proceedings. Piscataway: Institute of Electrical and Electronics Engineers, p. 2673-2680 8 p. 8790250Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Nonlinear dynamical systems
Genetic programming
Genetic Programming
Data-driven
Grammar
Grammar-based representation and identification of dynamical systems
Khandelwal, D., Schoukens, M. & Toth, R., 1 Jun 2019, 2019 18th European Control Conference, ECC 2019. Piscataway: Institute of Electrical and Electronics Engineers, p. 1318-1323 6 p. 8795719Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
grammars
Model structures
Grammar
dynamical systems
Dynamical systems
On the simulation of polynomial NARMAX models
Khandelwal, D., Schoukens, M. & Toth, R., 2018, 2018 IEEE Conference on Decision and Control (CDC) . PIscataway: Institute of Electrical and Electronics Engineers, p. 1445-1450 6 p.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Stochastic models
Statistical Models
Identification (control systems)
Polynomials
Data-driven modelling of LTI systems using symbolic regression
Khandelwal, D., Toth, R. & Van den Hof, P. M. J., 2017, p. 145.Research output: Contribution to conference › Abstract › Academic
Open Access
File
Data structures
Identification (control systems)
Hybrid systems
Dynamical systems
Student theses
Plant-model mismatch compensation using symbolic regression
Author: Raijmakers, P., 31 Aug 2017Supervisor: Weiland, S. (Supervisor 1), Toth, R. (Supervisor 2) & Khandelwal, D. (Supervisor 2)
Student thesis: Master