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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Bibliographic Details
Main Author: Amauri Holanda de Souza JÃnior
Other Authors: Guilherme de Alencar Barreto
Format: Others
Language:English
Published: Universidade Federal do Cearà 2014
Subjects:
Online Access:http://www.teses.ufc.br/tde_busca/arquivo.php?codArquivo=14269

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