Abstract

This paper presents a novel inference mechanism to design stable interval type-2 Takagi-Sugeno-Kang (TSK) dynamic fuzzy systems. The proposed engine introduces a closed form fur inference which replaces the type-reduction process. This closed form for inference enables the application of analytical methods for systematic modeling and control of uncertain fuzzy systems. Moreover, stability conditions are derived for type-2 TSK dynamic systems utilizing the proposed inference engine. The effectiveness of this new approach is validated through numerical examples. The methodology proposed herein can be used to systematically design stable type-2 TSK systems.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.