Fuzzy Logic for Non-Smooth Dynamical Systems
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- Dr Kamyar Mehran
- Dr Bashar Zahawi
- S Parimala A Saminathan
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| Author(s) | | Mehran K; Zahawi B; Giaouris D |
| Editor(s) | | Dai, Y., Chakraborty, B., Shi, M. |
| Publication type | | Book Chapter |
| Book Title | | Kansei Engineering and Soft Computing-Theory and Practice |
| Series Title | | Engineering Science Reference |
| Year | | 2011 |
| Volume | | |
| Pages | | 147-166 |
| ISBN | | 9781616927974 |
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| Full text for this publication is not currently held within this repository. Alternative links are provided below where available. |
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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. |
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| Publisher | | IGI Global |
| Place Published | | New York |
| DOI | | 10.4018/978-1-61692-797-4.ch008 |
| Actions | |  |
| Library holdings | | Search Newcastle University Library for this item |
