Please use this identifier to cite or link to this item: https://scholarbank.nus.edu.sg/handle/10635/17621
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dc.titleIntelligent Control of Mechatronic Systems
dc.contributor.authorTAO PEY YUEN
dc.date.accessioned2010-07-13T18:02:01Z
dc.date.available2010-07-13T18:02:01Z
dc.date.issued2008-12-16
dc.identifier.citationTAO PEY YUEN (2008-12-16). Intelligent Control of Mechatronic Systems. ScholarBank@NUS Repository.
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/17621
dc.description.abstractThis thesis considers the theoretical aspects of adaptive neural network (NN) control and its applications. NNs can approximate, to an arbitrary degree of accuracy, any real continuous function on a compact set, by exploiting the approximation capabilities of the NNs, a NN based control can be developed where NNs are used to compensate for the functional and parametric uncertainties in the system model. In this thesis, an Adaptive Variable Structure Control (AVSC) is proposed, based on NN parametrization, for a class of uncertain nonlinear pure-feedback single-input single-output (SISO) systems. Subsequently, the application of intelligent control is studied, where the focus is on the control of marine shafting systems. A case study on the application of intelligent control in marine shafting systems modeled as a chained multiple mass-spring system is presented.
dc.language.isoen
dc.subjectNeural Network Control, nonaffine systems, dynamic surface control, decoupled backstepping, marine shafting control
dc.typeThesis
dc.contributor.departmentNUS GRAD SCH FOR INTEGRATIVE SCI & ENGG
dc.contributor.supervisorGE SHUZHI
dc.description.degreePh.D
dc.description.degreeconferredDOCTOR OF PHILOSOPHY
dc.identifier.isiutNOT_IN_WOS
Appears in Collections:Ph.D Theses (Open)

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