Fuzzy logic in modeling and control
1. Linguistic aspect of fuzzy systems
Transparency of fuzzy systems

Essential papers

Papers to obtain

  • Y. Kajitani, K. Kuwata, R. Katayama, Y. Nishida, An automatic fuzzy modeling with constraints of membership functions and a model determination for neuro and fuzzy model by plural performance indices, in: T. Terano, M. Sugeno, M. Mukaidono, K. Shigemasu (Eds.), Fuzzy Engineering toward Human Friendly Systems, Tokyo, IOS Press, 1991, pp. 586 - 597
  • Setnes, M.; Babuska, R.; Verbruggen, H.B. Transparent fuzzy modelling, International Journal of Human Computer Studies, Volume 49, Issue 2, August 1998, Pages 159-179

Related papers

Original contribution

Inverse fuzzy models

Essential papers

Papers to obtain

  • Batur, C., A. Srinivasan, and C.-C. Chan, "Inverse fuzzy model controllers," Proc. American Control Conference, pp. 772 - 776, 1993.
  • R. Boukezzoula, S. Galichet; L. Foulloy. Exact inversion of takagi-sugeno fuzzy models, IFSA World Congress and 20th NAFIPS International Conference, 2001. Joint 9th , Volume: 4 , 2001 Page(s): 2108 -2113

Related papers

Linguistic stability

Essential papers

Papers to obtain

  • W.J. Kickert, E.H. Mamdani, Analysis of a fuzzy logic controller, Fuzzy Sets and Systems 1 (1978) 29-44
  • R.M. Tong, Some properties of fuzzy feedback systems, IEEE Trans. Systems Man Cybernet. 10 (6) (1980) 327-330.
  • J.B. Kiszka, M.M. Gupta, P.N. Nikiforuk, Energetic stability of fuzzy dynamic systems, IEEE Trans. Systems Man Cybernet. 15 (6) (1985) 783-792.
  • K.S. Ray, D.D. Majumder, The application of circle criteria for stability analysis of systems associated with fuzzy controllers, IEEE Trans. Systems Man Cybernet. 14 (2) (1984) 345-349.
  • Yamamoto, H.; Furuhashi, T. A New Sufficient Condition for Stable Fuzzy Control Systems and its Design Method, Trans. on Fuzzy Systems Vol. 9, No. 4, pp. 554-569, 2001 " (*)
  • Fusion and hierarchy can help fuzzy logic controller designers, IEEE International Conference on Fuzzy Systems, Volume 2, 1997,Pages 1159-1165 Lacrose, Veronique; Titli, Andre

Related papers

Hierarhical fuzzy control systems

Essential papers

Papers to obtain

  • G. V. S. Raju, J. Zhou, and R. A. Kisner, “Hierarchical fuzzy control,” Int. J. Control, vol. 54, no. 5, pp. 1201–1216, 1991.
  • H. R. Berenji, Y. Y. Chen, C. C. Lee, J. S. Jang, and S. Murugesan, “A hierarchical approach to designing approximate reasoning-based\par controllers for dynamic physical systems,” Uncertainty in Artificial Intelligence Amsterdam, The Netherlands: Elsevier, 1991, pp. 331–343.
  • T. L. Saaty, “Exploring the interface between hierarchies, multiple objectives and fuzzy sets,” Fuzzy Sets Syst., no. 1, pp. 57–68, 1978.
  • H. J. Zimmermann and P. Zysno, “Decisions and evaluations by\par hierarchical aggregation of information,” Fuzzy Sets Syst., no. 10, pp. 243–260, 1983.
  • J. J. Buckley, “Fuzzy hierarchical analysis,” Fuzzy Sets Syst., no. 17, pp. 233–247, 1985
  • M. Lasek, “Hierarchical structure of fuzzy ratings in the analysis of strategic goals of enterprises,” Fuzzy Sets Syst., no. 50, pp. 127–134, 1992.
  • Linkens D A & Abbod M F (1993) "Supervisory intelligent control using a fuzzy logic hierarchy", Trans InstMC, 15, pp 112-132.
  • V. Lacrose and A. Tilti. Fusion and hierarchy can help fuzzy logic controller designers. In IEEE International Conference on Fuzzy Systems, 1997.

Original contributions

2. Fuzzy modeling
Gradient descent

Essential papers

Original contribution

Genetic algorithms

Essential Papers

Fuzzy clustering

Essential papers

3. Advanced and adaptive fuzzy control
Model-based predictive control

Olulised artiklid

Fuzzy gain-scheduling

Essential papers

Papers to obtain

  • Ling, C. and Edgar, T.F. (1992) A New fuzzy gain scheduling algorithm for process control, Proc. American Control Conference, 2284-2290.
  • Qin, S.J. and Borders, G. (1993) A multi-region fuzzy logic controller for controlling processes with nonlinear gains, Proc. Int. Symp. Intell. Control, 445-450, Chicago, IL, IEEE.
  • Ling, C. and Edgar, T.F. (1994) Experimental verification of model-based fuzzy gain scheduling technique, Proc. American Control Conference, 2475-2480.
  • McMillan, G., Wojsznis, W. and Borders, G. (1994) Flexible gain scheduler, ISA Trans., 33, 35-41.
Direct adaptive control

Essential papers

Indirect adaptive control

Essential papers

4. Other topics
Truck-backer upper control

On this issue

Papers to obtain

  • S. Geva, J. Sitte, and G. Willshire. A one neuron truck backer--upper. In International Joint Conference on Neural Networks, Baltimore, ML, 1992. pp. 850--856

Original contribution

Fuzzy and PID control