Dynamic fuzzy systems for qualitative process modeling: Principles of a new systems theory

At-Automatisierungstechnik

Volumn 47, Issue 8, 1999, Pages 382-389

  Schäfers, Elmar ^a   Krebs, Volker ^b  

^a SIEMENS AG   (Germany)

^b UNIVERSITY OF KARLSRUHE   (Germany)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0142180432     PISSN: 01782312     EISSN: None     Source Type: Journal    
DOI: 10.1524/auto.1999.47.8.382     Document Type: Article

References (13)

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3. Driankov, D., Hellendoorn, H., Reinfrank, M.: An Introduction to Fuzzy Control. Springer-Verlag Berlin Heidelberg, 1993.
4. Krebs, V., Schäfers, E.: Dynamische Fuzzy-Systeme zur qualitativen Prozeßmodellierung. GMA-Fachtagung “Computational Intelligence”, pp. 115-135, Berlin, 1998.
5. Schäfers, E.: Dynamische Fuzzy-Systeme zur qualitativen Prozeßmodellierung: Eine neue Systemtheorie. Ph.D. thesis, Fortschritt-Berichte VDI, Reihe 8, Nr. 745, VDI-Verlag, Düsseldorf, 1999.
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8. Zadeh, L. A.: Fuzzy sets as a basis for a theory of possibility. Fuzzy sets and systems 1, pp. 3-28, 1978.
9. Rumpf, O.: Stabilitätsanalyse zeidiskreter nichtlinearer dynamischer Systeme auf der Basis der konvexen Zerlegung mit paralleler Implementierung. PhD thesis, Fortschritt-Berichte VDI, Reihe 8, Nr. 651, VDI-Verlag, Düsseldorf, 1997.
10. Kiendl, E.: Robustheitsanalyse von Regelungssystemen mit der Methode der konvexen Zerlegung. Automatisierungstechnik 35, pp. 192-202, 1987 (5).
11. Kiendl, H., Scheel, T.: “Integral Ljapunov Functions” Based on Incomplete State Feedback. Design Methods of Control Systems. Selected Papers from the IFAC Symposium, Zurich, Switzerland 4.-6.9.1991. Pergamon Press, Oxford 1992, pp. 311-315.
12. Schäfers, E., Krebs, V.: Stability Analysis and Controller Design for Dynamic Fuzzy Systems based on a new Fuzzy Inference Approach. 6th IEEE International Conference on Fuzzy Systems, pp. 1033-1038, Barcelona, 1997.
13. Slotine, J.-J., Li, W.: Applied Nonlinear Control. Prentice-Hall International, 1991.