Regional Models and Minimal Learning Machines for Nonlinear Dynamical System Identification
This thesis addresses the problem of identifying nonlinear dynamic systems from a machine learning perspective. In this context, very little is assumed to be known about the system under investigation, and the only source of information comes from input/output measurements on the system. It correspo...
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Format: | Others |
Language: | English |
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Universidade Federal do CearÃ
2014
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Online Access: | http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14269 |