Abstract
In this paper, the robust stability of a PD type Single input Interval Type-2 Fuzzy Logic Controller (SIT2-FLC) structure will be examined via the well-known Popov criterion and Lyapunov's direct method approach. Since a closed form formulation of the SIT2-FLC output is possible, the type-2 fuzzy functional mapping is analyzed in a two dimensional domain. Thus, mathematical derivations are presented to show that type-2 fuzzy functional mapping is a symmetrical function and always sector bounded. Consequently, the type-2 fuzzy system can be transformed into a perturbed Lur'e system to examine its robust stability. It has been proven that the stability of the PD type SIT2-FLC system is guaranteed with the aids of the Popov-Lyapunov method. A robustness measure of the type-2 fuzzy control system is also presented to give the bound of allowable uncertainties/ nonlinearities of the control system. Moreover, if this bound is known, the exact region of stability of the type-2 fuzzy system can be found since SIT2-FLC output can be presented in a closed form. An illustrate example is presented to demonstrate the robust stability analysis of the PD type SIT2-FLC system.
Original language | English |
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Title of host publication | Proceedings of the 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 634-639 |
Number of pages | 6 |
ISBN (Electronic) | 9781479920723 |
DOIs | |
Publication status | Published - 4 Sept 2014 |
Event | 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 - Beijing, China Duration: 6 Jul 2014 → 11 Jul 2014 |
Publication series
Name | IEEE International Conference on Fuzzy Systems |
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ISSN (Print) | 1098-7584 |
Conference
Conference | 2014 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2014 |
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Country/Territory | China |
City | Beijing |
Period | 6/07/14 → 11/07/14 |
Bibliographical note
Publisher Copyright:© 2014 IEEE.
Keywords
- Interval type-2 fuzzy logic controllers
- Lur'e system
- Robust stability