Please use this identifier to cite or link to this item:
http://hdl.handle.net/11375/11755
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Sinha, N.K. | en_US |
dc.contributor.author | Abdel-Azim, Sanaa | en_US |
dc.date.accessioned | 2014-06-18T16:56:34Z | - |
dc.date.available | 2014-06-18T16:56:34Z | - |
dc.date.created | 2009-12-14 | en_US |
dc.date.issued | 1979-05 | en_US |
dc.identifier.other | opendissertations/670 | en_US |
dc.identifier.other | 1929 | en_US |
dc.identifier.other | 1088066 | en_US |
dc.identifier.uri | http://hdl.handle.net/11375/11755 | - |
dc.description.abstract | <p>The problem of estimating the states of a dynamical system on the basis of output measurements is considered in detail. Some of the existing nonlinear estimation techniques are critically surveyed, these include the extended Kalman filter, the second-order filter, the innovations approach, and the invariant imbedding nonlinear filter. A new algorithm for nonlinear estimation is proposed which combines the invariant imbedding approach and the stochastic approximation algorithm for adaptively estimating the filter gain. The new algorithm is an iterative scheme which does not require knowledge of a priori input and measurement noise statistics. The proposed algorithm and the other techniques are used for the recursive state estimation of a satellite orbital trajectory. The results of simulation indicate the efficiency and reliability of the new algorithm. Convergence to the true state is achieved with much less computation when compared to the other methods.</p> | en_US |
dc.subject | Electrical and Electronics | en_US |
dc.subject | Electrical and Electronics | en_US |
dc.title | Nonlinear State Estimation with Application to Communication Satellites | en_US |
dc.type | thesis | en_US |
dc.contributor.department | Electrical Engineering | en_US |
dc.description.degree | Doctor of Philosophy (PhD) | en_US |
Appears in Collections: | Open Access Dissertations and Theses |
Files in This Item:
File | Size | Format | |
---|---|---|---|
fulltext.pdf | 2.49 MB | Adobe PDF | View/Open |
Items in MacSphere are protected by copyright, with all rights reserved, unless otherwise indicated.