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Fuzzy Logic for Non-Smooth Dynamical Systems

Lookup NU author(s): Dr Kamyar Mehran, Dr Bashar Zahawi, Parimala Saminathan


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Dynamical system theory has proved to be a powerful tool in the analysis and comprehension of a diverse range of problems. Over the past decade, a significant proportion of these systems have been found to contain terms that are non-smooth functions of their arguments. These problems arise in a number of practical systems ranging from electrical circuits to biological systems and even financial markets. It has also been demonstrated that Fuzzy engineering can be effectively employed to identify or even predict an array of uncertainties and chaotic phenomena caused by discontinuities typical of this class of system. This chapter presents a review of the most recent developments concerned with the confluence of these two fields through real-life examples and current advances in research.

Publication metadata

Author(s): Mehran K; Zahawi B; Giaouris D

Editor(s): Dai, Y., Chakraborty, B., Shi, M.

Publication type: Book Chapter

Publication status: Published

Book Title: Kansei Engineering and Soft Computing-Theory and Practice

Year: 2011

Pages: 147-166

Series Title: Engineering Science Reference

Publisher: IGI Global

Place Published: New York

DOI: 10.4018/978-1-61692-797-4.ch008

Library holdings: Search Newcastle University Library for this item

ISBN: 9781616927974