<p>By making use of measurements of the input and output of an unknown system, the characterizing parameters are found by using matrix pseudoinverse method. For noise-corrupted measurement, least squares estimation of the parameters are obtained.</p> <p>Stochastic approximation is employed to improve the estimation.</p> <p>Both methods are tested on-line in real time using the PDP-11/45 minicomputer while the system is simulated on the TR-20 analog computer.</p> / Master of Engineering (ME)
| Identifer | oai:union.ndltd.org:mcmaster.ca/oai:macsphere.mcmaster.ca:11375/9283 |
| Date | 04 1900 |
| Creators | Tang, M. |
| Contributors | Sinha, N. K., Electrical Engineering |
| Source Sets | McMaster University |
| Detected Language | English |
| Type | thesis |
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