An overview of nonlinear identification and control with neural networks.

Ruano, Antonio; Ferreira, P. M.; Fonseca, C. M.

http://hdl.handle.net/10400.1/2285

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Authors

Ruano, Antonio

Ferreira, P. M.

Fonseca, C. M.

Abstract(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.

URI

http://hdl.handle.net/10400.1/2285

Citation

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.