Neural observers for non-linear systems.
dc.contributor.author | Sayyid Hasan Riyaz | |
dc.date | 1997 | |
dc.date.accessioned | 2022-05-18T04:03:54Z | |
dc.date.available | 2022-05-18T04:03:54Z | |
dc.degree.department | College of Computer Science and Engineering | |
dc.degree.grantor | King Fahad for Petrolem University | |
dc.description.abstract | Design 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.other | 5216 | |
dc.identifier.uri | https://drepo.sdl.edu.sa/handle/20.500.14154/608 | |
dc.language.iso | en | |
dc.publisher | Saudi Digital Library | |
dc.thesis.level | Master | |
dc.thesis.source | King Fahad for Petrolem University | |
dc.title | Neural observers for non-linear systems. | |
dc.type | Thesis |