Please use this identifier to cite or link to this item:
|Title:||Neural network control design for a rigid-link electrically driven robot||Authors:||Huang, S.N.
Rigid-link electrically driven robot
|Issue Date:||2003||Citation:||Huang, S.N., Tan, K.K., Lee, T.H. (2003). Neural network control design for a rigid-link electrically driven robot. Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering 217 (2) : 99-107. ScholarBank@NUS Repository. https://doi.org/10.1243/095965103321512819||Abstract:||In this paper, a back-stepping scheme for rigid-link electrically driven (RLED) robot systems is proposed. A two-step controller is presented: the first step is a virtual controller, while the second step is an actual one. A neural network is used to approximate the unknown non-linear dynamics in the system. The stability can be guaranteed by using a rigid proof. A simulation is used to illustrate the effectiveness of the proposed algorithm.||Source Title:||Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering||URI:||http://scholarbank.nus.edu.sg/handle/10635/56782||ISSN:||09596518||DOI:||10.1243/095965103321512819|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Feb 17, 2020
WEB OF SCIENCETM
checked on Feb 10, 2020
checked on Feb 18, 2020
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.