Efficiency Improvement of Extended Kalman Filter via Fuzzy Rule Base of Initial Conditions
碩士 === 國立臺灣科技大學 === 電機工程系 === 91 === In this thesis, we propose an algorithm for adaptive control of nonlinear static systems. As well known the Kalman filter are sensitive to initial conditions, and may not converge for all initial condition. In order to overcome this problem, the algori...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2003
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| Online Access: | http://ndltd.ncl.edu.tw/handle/18321074144929575900 |