Real-Time Fuzzy Tracking Control for Dynamical Nonlinear Systems
碩士 === 逢甲大學 === 電子工程學系 === 101 === Based on system identifier, real-time fuzzy neural network (RTFNN) tracking control for a class of unknown nonlinear dynamic system is developed in this thesis. In order to fully handle the numerical and linguistic uncertainties associated with dynamic unstructured...
| Main Authors: | , |
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| Other Authors: | |
| Format: | Others |
| Language: | zh-TW |
| Published: |
2013
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| Online Access: | http://ndltd.ncl.edu.tw/handle/86127087131916103753 |