Malik, Muhammad Bilal (2004) STATE-SPACE RECURSIVE LEAST-SQUARES. PhD thesis, National University of Sciences & Technology, Rawalpindi.
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Abstract
This thesis presents state-space recursive least squares (SSRLS) algorithm. SSRLS allows a designer to incorporate an appropriate model for the environment. The result is a marked improvement in its tracking performance over the standard RLS and least mean square (LMS) filters. Another attribute of SSRLS is its state-space formulation, which makes it a suitable state estimator in control systems.
| Item Type: | Thesis (PhD) |
|---|---|
| Subjects: | Engineering & Technology (e) > Engineering(e1) > Electrical engineering (e1.16) |
| ID Code: | 420 |
| Deposited By: | Mr. Muhammad Asif |
| Deposited On: | 28 Sep 2006 |
| Last Modified: | 04 Oct 2007 21:00 |
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