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dc.contributor.advisorMukhopadhyay, Shayok
dc.contributor.authorAl-Tameemi, Ali Qahtan
dc.date.accessioned2019-03-19T05:46:56Z
dc.date.available2019-03-19T05:46:56Z
dc.date.issued2018-11
dc.identifier.other35.232-2018.42
dc.identifier.urihttp://hdl.handle.net/11073/16411
dc.descriptionA Master of Science thesis in Mechatronics Engineering by Ali Qahtan Al-Tameemi entitled, “Hybrid Power System Design for Autonomous Ground Robots”, submitted in November 2018. Thesis advisor is Dr. Shayok Mukhopadhyay. Soft and hard copy available.en_US
dc.description.sponsorshipCollege of Engineeringen_US
dc.description.sponsorshipMultidisciplinary Programsen_US
dc.language.isoen_USen_US
dc.relation.ispartofseriesAmerican University of Sharjah Student Worken_US
dc.relation.ispartofseriesMaster of Science in Mechatronics Engineering (MSMTR)en_US
dc.subjectGeneralized Predictive Control (GPC)en_US
dc.subjectKalman filter (KF)en_US
dc.subjectFast Fourier Transform (FFT)en_US
dc.subjectArtificial Neural Network (ANN)en_US
dc.titleHybrid Power System Design for Autonomous Ground Robotsen_US
dc.typeThesisen_US


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