Big bang big crunch optimization method based fuzzy model inversion

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5317 LNAI, Issue , 2008, Pages 732-740

  Kumbasar, Tufan ^a   Eksin, Ibrahim ^a   Güzelkaya, Müjde ^a   Yeşil, Engin ^a  

^a ISTANBUL TECHNICAL UNIVERSITY   (Turkey)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; BIONICS; DIFFRACTIVE OPTICAL ELEMENTS; EVOLUTIONARY ALGORITHMS; LEARNING ALGORITHMS; OPTIMIZATION; THEOREM PROVING;

BIG BANGS; BIG CRUNCHES; COMPUTATIONAL TIMES; CONVERGENCE SPEEDS; EVOLUTIONARY SEARCH ALGORITHMS; FUZZY MODELS; INVERSION METHODS; NEW TECHNIQUES; OPEN LOOP FASHIONS; OPEN LOOPS; OPTIMIZATION ALGORITHMS; OPTIMIZATION METHODS; OPTIMIZATION OPERATIONS; OR CONDITIONS; PARAMETER VARIATIONS; SAMPLING TIMES; SIMULATION STUDIES;

FUZZY CONTROL;

EID: 57049126099     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-88636-569     Document Type: Conference Paper

References (13)

1. Economou, G., Morari, M., Palsson, B.: Internal model control. Extension to nonlinear Systems. Ind. Eng. Chem. Process Des. Dev. 25, 403-411 (1986)
2. Babuska, R.: Fuzzy Modeling for Control. Kluwer Academic Publishers, Boston (1998)
3. Babuska, R., Sousa, J., Verbruggen, H.B.: Model Based Design of Fuzzy Control Systems. In: Proc. of the 3rd Europ. Congr. on 6rt. Techniques and Soft Computing EUFlT 1995, Aachen, Germany, pp. 837-841 (1995)
4. Baranyi, P., Korondi, P., Hashimoto, H., Wada, M.: Fuzzy Inversion and Rule Base Reduction. In: IEEE Int. Conf. on Intelligent Engineering Systems (IEEE INES 1997), Budapest, pp. 301-306 (1997)
5. Varkonyi-Koczy, A.R., Amos, A., Kovicshizy, T.: Genetic Algorithms in Fuzzy Model Inversion. In: IEEE International Fuzzy Systems Conference Proceedings, Seoul,Korea, August 22-25 (1999)
6. Varkonyi-Koczy, A.R., Péceli, G., Dobrowiecki, T.P., Kovácsházy, T.: Iterative Fuzzy Model Inversion. In: Proc. of the 1998 IEEE Int. Conference on Fuzzy Systems, FUZZ-IEEE 1998, Anchorage, Alaska, USA, May 5-9, vol. 1, pp. 561-566 (1998)
7. Boukezzoula, R., Galichet, S., Folloy, L.: Nonlinear Internal Model Control: Applicaation of Inverse Model Based Fuzzy Control. IEEE Transactions on Fuzzy Systems 11(6) (2003)
8. Boukezzoula, R., Galichet, S., Folloy, L.: Fuzzy Feedback Linearizing Controller and its Equivalence with the Fuzzy Nonlinear Internal Model Control Structure. International Journal of Applied Mathematics and Computer Science 17(2), 233-248 (2007)
9. Abonyi, J., Andersen, H., Nagy, L., Szeifert, F.: Inverse Fuzzy-Process -Model Based Adaptive Control. Mathematics and Computers in Simulation 51(1-2), 119-132 (1999)
10. Fischer, M., Isermann, R.: Robust hybrid control based on inverse fuzzy process models. In: IEEE International conference on fuzzy systems, New Orleans, USA, pp. 1210-1216 (1996)
11. Erol, O.K., Eksin, I.: A new optimization method: Big Bang-Big Crunch. Advances in Engineering Software 37, 106-111 (2006)
12. Kumbasar, T., Yeşil, E., Eksin, İ., Güzelkaya, M.: Inverse Fuzzy Model Control with Online Adaptation via Big Bang-Big Crunch Optimization. In: The 3rd International Symposium on Communications, Control and Signal Processing, ISCCSP, Malta (2008)
13. Agrawal, P., Lakshminarayan, S.: Tuning proportional-integral-derivative controllers using achievable performance indices. Ind. Eng. Chem. Res. 42, 5576-5582 (2003)