Schneider, Moritz ; Adamy, Jürgen (2023)
Singleton-Based Two-String Inference in Recurrent Fuzzy Systems.
In: IFAC Proceedings Volumes, 2014, 47 (3)
doi: 10.26083/tuprints-00023293
Article, Secondary publication, Publisher's Version
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| Item Type: | Article |
|---|---|
| Type of entry: | Secondary publication |
| Title: | Singleton-Based Two-String Inference in Recurrent Fuzzy Systems |
| Language: | English |
| Date: | 2023 |
| Place of Publication: | Darmstadt |
| Year of primary publication: | 2014 |
| Publisher: | IFAC - International Federation of Automatic Control |
| Journal or Publication Title: | IFAC Proceedings Volumes |
| Volume of the journal: | 47 |
| Issue Number: | 3 |
| DOI: | 10.26083/tuprints-00023293 |
| Corresponding Links: | |
| Origin: | Secondary publication service |
| Abstract: | Two-string fuzzy inference consists of two separate inference mechanisms: One conventional fuzzy inference system that processes recommending rules, as well as a mechanism for processing negative rules, which prevent the system from outputting their associated values when their premise is fulfilled. Two-string inference has valuable applications in pattern recognition and control tasks. We present a method rendering two-string inference applicable and computationally feasible in recurrent fuzzy systems, i.e. Mamdami-type fuzzy inference systems equipped with defuzzified state feedback. We show the efficiency of our approach by means of an illustrative example from biological systems modelling and suggest application areas for recurrent two-string fuzzy systems. |
| Uncontrolled Keywords: | Recurrent Fuzzy Systems, Fuzzy Inference, Rule-based Systems, Dynamic modelling, Fuzzy modelling, Fuzzy control |
| Status: | Publisher's Version |
| URN: | urn:nbn:de:tuda-tuprints-232931 |
| Additional Information: | Zugl. Konferenzveröffentlichung: 19th IFAC World Congress (IFAC 2014), 24.-29.08.2014, Cape Town, South Africa |
| Classification DDC: | 600 Technik, Medizin, angewandte Wissenschaften > 620 Ingenieurwissenschaften und Maschinenbau |
| Divisions: | 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems |
| Date Deposited: | 01 Mar 2023 13:41 |
| Last Modified: | 26 May 2023 07:05 |
| URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/23293 |
| PPN: | 507989252 |
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