Neural observers for non-linear systems.

dc.contributor.authorSayyid Hasan Riyaz
dc.date1997
dc.date.accessioned2022-05-18T04:03:54Z
dc.date.available2022-05-18T04:03:54Z
dc.degree.departmentCollege of Computer Science and Engineering
dc.degree.grantorKing Fahad for Petrolem University
dc.description.abstractDesign of dynamic neural observer for nonlinear plant is considered. Six different schemes have been proposed. Simulation studies have been conducted to establish their usefulness and evaluate their performance. Simulation study also established the superiority of the proposed schemes over the static neural observer and the extended Kalman filter.
dc.identifier.other5216
dc.identifier.urihttps://drepo.sdl.edu.sa/handle/20.500.14154/608
dc.language.isoen
dc.publisherSaudi Digital Library
dc.thesis.levelMaster
dc.thesis.sourceKing Fahad for Petrolem University
dc.titleNeural observers for non-linear systems.
dc.typeThesis

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