Please use this identifier to cite or link to this item: https://doi.org/10.1109/CDC.2007.4434457
DC FieldValue
dc.titleNeural network feedforward control for mechanical systems with external disturbances
dc.contributor.authorRen, X.
dc.contributor.authorLewis, F.L.
dc.contributor.authorGe, S.S.
dc.contributor.authorZhang, J.
dc.date.accessioned2014-04-24T08:36:46Z
dc.date.available2014-04-24T08:36:46Z
dc.date.issued2007
dc.identifier.citationRen, X.,Lewis, F.L.,Ge, S.S.,Zhang, J. (2007). Neural network feedforward control for mechanical systems with external disturbances. Proceedings of the IEEE Conference on Decision and Control : 4687-4692. ScholarBank@NUS Repository. <a href="https://doi.org/10.1109/CDC.2007.4434457" target="_blank">https://doi.org/10.1109/CDC.2007.4434457</a>
dc.identifier.isbn1424414989
dc.identifier.issn01912216
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/51219
dc.description.abstractIn this paper, a novel feedforward control based on accelerometer measurements is proposed for mechanical systems with external disturbances. The control scheme includes a feedback controller and a neural network feedforward compensator. The feedback controller is employed to guarantee the stability of the mechanical systems, while the neural network is used to provide the required feedforward compensation input for trajectory tracking with the help of a sensor to detect external vibrations. Dynamics knowledge of the plant, disturbances and the sensor is not required. The stability of the proposed scheme is analyzed by the Lyapunov criterion. Simulation results show that the proposed controller performs well for a hard disk drive system and a two-link manipulator. © 2007 IEEE.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1109/CDC.2007.4434457
dc.sourceScopus
dc.typeConference Paper
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1109/CDC.2007.4434457
dc.description.sourcetitleProceedings of the IEEE Conference on Decision and Control
dc.description.page4687-4692
dc.description.codenPCDCD
dc.identifier.isiutNOT_IN_WOS
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