An overview of nonlinear identification and control with neural networks.
| Data(s) |
11/02/2013
11/02/2013
2005
26/01/2013
|
|---|---|
| Identificador |
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. 0 86341 489 3 AUT: ARU00698; |
| Idioma(s) |
eng |
| Publicador |
Institution of Electrical Engineers |
| Direitos |
restrictedAccess |
| Tipo |
bookPart |
| Resumo |
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. |
