Abstract
Artificial neural networks, fuzzy systems, and cellular neural networks are nonlinear systems. Furthermore, their use is directed towards the modeling and control of dynamic non-linear systems. Soft computing techniques would, in any case, be superfluous for studying linear systems, being more often than not dedicated to the study of systems having a certain degree of complexity. Hence the need to introduce the basic tools for analyzing complex dynamic systems. This chapter is therefore arranged around two themes: the first regards the analysis of complex dynamic systems, while the second deals with the processing of an innovative procedure for generating complex dynamics by means of CNNs and thus by means of soft computing types of techniques.
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Fortuna, L., Rizzotto, G., Lavorgna, M., Nunnari, G., Xibilia, M.G., Caponetto, R. (2001). Complex Dynamics and Cellular Neural Networks. In: Soft Computing. Advanced Textbooks in Control and Signal Processing. Springer, London. https://doi.org/10.1007/978-1-4471-0357-8_8
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DOI: https://doi.org/10.1007/978-1-4471-0357-8_8
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