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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

5 Citations (Scopus)

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].

Original language	English
Title of host publication	Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104
Editors	B. Reljin, S. Stankovic
Pages	89-92
DOIs	https://doi.org/10.1109/NEUREL.2014.7011468
Publication status	Published - 2014
Event	12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014) - SAVA Center, Belgrade, Serbia Duration: 25 Nov 2014 → 26 Nov 2014 Conference number: 12

Conference

Conference	12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014)
Abbreviated title	NEUREL 2014
Country/Territory	Serbia
City	Belgrade
Period	25/11/14 → 26/11/14

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10.1109/NEUREL.2014.7011468

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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",

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doi = "10.1109/NEUREL.2014.7011468",

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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",

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Arbo, MH, Raijmakers, PA & Mladenov, VM 2014, Applications of neural networks for control of a double inverted pendulum. in B Reljin & S Stankovic (eds), Proceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104. pp. 89-92, 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014), Belgrade, Serbia, 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. ed. / B. Reljin; S. Stankovic. 2014. p. 89-92.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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PY - 2014

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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].

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DO - 10.1109/NEUREL.2014.7011468

M3 - Conference contribution

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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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T2 - 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014)

Y2 - 25 November 2014 through 26 November 2014

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Applications of neural networks for control of a double inverted pendulum

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