| dc.contributor.advisor | Mukhopadhyay, Shayok | |
| dc.contributor.author | Al-Tameemi, Ali Qahtan | |
| dc.date.accessioned | 2019-03-19T05:46:56Z | |
| dc.date.available | 2019-03-19T05:46:56Z | |
| dc.date.issued | 2018-11 | |
| dc.identifier.other | 35.232-2018.42 | |
| dc.identifier.uri | http://hdl.handle.net/11073/16411 | |
| dc.description | A 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.sponsorship | College of Engineering | en_US |
| dc.description.sponsorship | Multidisciplinary Programs | en_US |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | American University of Sharjah Student Work | en_US |
| dc.relation.ispartofseries | Master of Science in Mechatronics Engineering (MSMTR) | en_US |
| dc.subject | Generalized Predictive Control (GPC) | en_US |
| dc.subject | Kalman filter (KF) | en_US |
| dc.subject | Fast Fourier Transform (FFT) | en_US |
| dc.subject | Artificial Neural Network (ANN) | en_US |
| dc.title | Hybrid Power System Design for Autonomous Ground Robots | en_US |
| dc.type | Thesis | en_US |
