COMPARATIVE ANALYSIS OF LMS (LEAST MEAN SQUARE) AND RLS (RECURSIVE LEAST SQUARE) FOR ESTIMATION OF FIGHTER PLANE’S MATHEMATICAL MODEL
Volume 10 Issue 1 2016
Download| Author(s): | Muhammad Tahir Qadri, Rakshan Zulfikar, Nimrah Ahmed, Rumaisa Iftikar, Ali Akbar Siddiqui |
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| Abstract | Estimating of complex system in real time environment is necessary for designing a precise controller to operate the given system. In this paper we have compared both Least Mean Square (LMS), and Recursive Least Square to identify which one of them gives more approximate estimation. Basically LMS is based on the set of Adaptive filters tends to reduce the error over time between the actual system response and the desired system response, on the other hand we have RLS that is capable of forgetting the previous acquired data and focus on recent main stream data. We have considered a model of a fighter plane because of its complex and unpredicted movements to estimate the model at its follows. Both the algorithms are complete and useful, but their usage may vary according to the application. |
| Keywords | System Identification, Least Mean Square (LMS), Recursive Least Square (RLS), Modeling Of Fighter Plane. |
| Year | 2016 |
| Volume | 10 |
| Issue | 1 |
| Type | Research paper, manuscript, article |
| Journal Name | Journal of Information & Communication Technology | Publisher Name | ILMA University | Jel Classification | - | DOI | - | ISSN no (E, Electronic) | 2075-7239 | ISSN no (P, Print) | 2415-0169 | Country | Pakistan | City | Karachi | Institution Type | University | Journal Type | Open Access | Manuscript Processing | Blind Peer Reviewed | Format | Paper Link | https://jict.ilmauniversity.edu.pk/journal/jict/10.1/4.pdf | Page | 35-46 |