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An overview of nonlinear identification and control with neural networks.
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Resumo(s)
The aim of this chapter is to introduce background concepts in nonlinear systems
identification and control with artificial neural networks. As this chapter is just an
overview, with a limited page space, only the basic ideas will be explained here. The
reader is encouraged, for a more detailed explanation of a specific topic of interest,
to consult the references given throughout the text. Additionally, as general books
in the field of neural networks, the books by Haykin [1] and Principe et al. [2] are
suggested. Regarding nonlinear systems identification, covering both classical and
neural and neuro-fuzzy methodologies, Reference 3 is recommended. References 4
and 5 should be used in the context of B-spline networks.
Descrição
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Contexto Educativo
Citação
Ruano, A. E.; Ferreira, P. M.; Fonseca, C. M. An Overview of Nonlinear Identification and Control with Neural Networks. In Intelligent Control Systems using Computational Intelligence Techniques , 37-87, ISBN: 0 86341 489 3. London: Institution of Electrical Engineers, 2005.
Editora
Institution of Electrical Engineers