Sharifah Sakinah, Syed Ahmad (2015) A Comparison of Type-1 and Type-2 Fuzzy Logic Controllers in Robotics: A review. International Journal on Numerical and Analytical Methods in Engineering (IRENA). pp. 1-7. ISSN 2281-7026 (Submitted)
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Abstract
Most real world applications face high levels of uncertainties that can affect the operations of such applications. Hence, there is a need to develop different approaches that can handle the available uncertainties and reduce their effects on the given application. To date, Type-1 Fuzzy Logic Controllers (FLCs) have been applied with great success to many different real world applications. The traditional type-1 FLC which uses crisp type-1 fuzzy sets cannot handle high levels of uncertainties appropriately. Nevertheless it has been shown that a type-2 FLC using type-2 fuzzy sets can handle such uncertainties better and thus produce a better performance. As such, type-2 FLCs are considered to have the potential to overcome the limitations of type-1 FLCs and produce a new generation of fuzzy controllers with improved performance for many applications which require handling high levels of uncertainty. This paper will briefly introduce the interval type-2 FLC and its benefits. We will also present briefly some of the type-2 FLC real world applications.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Fuzzy logic controllers, Robotics |
| Subjects: | Q Science > QA Mathematics > QA76 Computer software |
| Divisions: | Faculty of Information and Communication Technology > Department of Industrial Computing |
| Depositing User: | DR Sharifah Sakinah Syed Ahmad |
| Date Deposited: | 20 Jan 2015 04:07 |
| Last Modified: | 28 May 2015 04:36 |
| URI: | http://eprints.utem.edu.my/id/eprint/14072 |
| Statistic Details: | View Download Statistic |
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