Investigation of different approaches for identification and control of complex and nonlinear systems using neural networks
System identification deals with the problem of building mathematical models of dynamical systems based on observed data from the systems. Most of the conventional techniques of system identification, in general, require some amount of a priori knowledge about the structure of the systems. Also, the...
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| Format: | Others |
| Language: | en |
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Virginia Tech
2014
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| Online Access: | http://hdl.handle.net/10919/43160 http://scholar.lib.vt.edu/theses/available/etd-06112009-063450/ |