Applications of neural networks for control of a double inverted pendulum

M.H. Arbo; P.A. Raijmakers; V.M. Mladenov

doi:10.1109/NEUREL.2014.7011468

Applications of neural networks for control of a double inverted pendulum

M.H. Arbo, P.A. Raijmakers, V.M. Mladenov

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

5 Citaten (Scopus)

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A study regarding the swing-up and stabilization problem of a double pendulum on a cart is presented. Current methods of feed forward control, energy based control, and passivity based control are used to select a design for the swing-up controller. The stabilization is done using an LQR controller. The nonlinear controller is analyzed with respect to being approximated by a neural network [1].

Originele taal-2	Engels
Titel	Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104
Redacteuren	B. Reljin, S. Stankovic
Pagina's	89-92
DOI's	https://doi.org/10.1109/NEUREL.2014.7011468
Status	Gepubliceerd - 2014
Evenement	12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014) - SAVA Center, Belgrade, Servië Duur: 25 nov. 2014 → 26 nov. 2014 Congresnummer: 12

Congres

Congres	12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014)
Verkorte titel	NEUREL 2014
Land/Regio	Servië
Stad	Belgrade
Periode	25/11/14 → 26/11/14
Ander	Neurel 2014

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@inproceedings{693a01ae04ec4efb9093ff8d57aac76c,

title = "Applications of neural networks for control of a double inverted pendulum",

abstract = "A study regarding the swing-up and stabilization problem of a double pendulum on a cart is presented. Current methods of feed forward control, energy based control, and passivity based control are used to select a design for the swing-up controller. The stabilization is done using an LQR controller. The nonlinear controller is analyzed with respect to being approximated by a neural network [1].",

author = "M.H. Arbo and P.A. Raijmakers and V.M. Mladenov",

year = "2014",

doi = "10.1109/NEUREL.2014.7011468",

language = "English",

isbn = "978-1-4799-588-7",

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editor = "B. Reljin and S. Stankovic",

booktitle = "Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104",

note = "12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014), NEUREL 2014 ; Conference date: 25-11-2014 Through 26-11-2014",

}

Arbo, MH, Raijmakers, PA & Mladenov, VM 2014, Applications of neural networks for control of a double inverted pendulum. in B Reljin & S Stankovic (uitgave), Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104. blz. 89-92, 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014), Belgrade, Servië, 25/11/14. https://doi.org/10.1109/NEUREL.2014.7011468

Applications of neural networks for control of a double inverted pendulum. / Arbo, M.H.; Raijmakers, P.A.; Mladenov, V.M.
Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104. uitgave / B. Reljin; S. Stankovic. 2014. blz. 89-92.

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

TY - GEN

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AU - Raijmakers, P.A.

AU - Mladenov, V.M.

N1 - Conference code: 12

PY - 2014

Y1 - 2014

N2 - A study regarding the swing-up and stabilization problem of a double pendulum on a cart is presented. Current methods of feed forward control, energy based control, and passivity based control are used to select a design for the swing-up controller. The stabilization is done using an LQR controller. The nonlinear controller is analyzed with respect to being approximated by a neural network [1].

AB - A study regarding the swing-up and stabilization problem of a double pendulum on a cart is presented. Current methods of feed forward control, energy based control, and passivity based control are used to select a design for the swing-up controller. The stabilization is done using an LQR controller. The nonlinear controller is analyzed with respect to being approximated by a neural network [1].

U2 - 10.1109/NEUREL.2014.7011468

DO - 10.1109/NEUREL.2014.7011468

M3 - Conference contribution

SN - 978-1-4799-588-7

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BT - Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104

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ER -

Applications of neural networks for control of a double inverted pendulum

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