Malik, Muhammad Bilal (2004) STATE-SPACE RECURSIVE LEAST-SQUARES. PhD thesis, National University Of Sciences And Technology, Islamabad.
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)|
|Deposited By:||Mr. Muhammad Asif|
|Deposited On:||28 Sep 2006|
|Last Modified:||18 Mar 2015 21:51|
Repository Staff Only: item control page