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 proceedingConference contributionAcademicpeer-review

3 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 languageEnglish
Title of host publicationProceedings of 12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL), Belgrade, Serbia, 25-26 November 2104
EditorsB. Reljin, S. Stankovic
Pages89-92
DOIs
Publication statusPublished - 2014
Event12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014) - SAVA Center, Belgrade, Serbia
Duration: 25 Nov 201426 Nov 2014
Conference number: 12

Conference

Conference12th Symposium on Neural Network Applications in Electrical Engineering (NEUREL 2014)
Abbreviated titleNEUREL 2014
CountrySerbia
CityBelgrade
Period25/11/1426/11/14

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    Arbo, M. H., Raijmakers, P. A., & Mladenov, V. M. (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) https://doi.org/10.1109/NEUREL.2014.7011468