Two problems in fuzzy state machine design: Structure definition and rule base simplification

IFAC Proceedings Volumes (IFAC-PapersOnline)

Volumn 15, Issue 1, 2002, Pages 199-204

  Estevez, Jose ^a   Moreno, Lorenzo ^a   Alayon, Silvia ^a   Aguilar, Rosa ^a   Sigut, Jose ^a  

^a UNIVERSIDAD DE LA LAGUNA   (Spain)

Author keywords

Control system design; Finite State Machine; Fuzzy control; Fuzzy modelling; Fuzzy system

Indexed keywords

AUTOMATION; CONTROL SYSTEMS; FINITE AUTOMATA; FUZZY CONTROL; FUZZY SYSTEMS; MACHINE DESIGN; PATTERN RECOGNITION;

DETERMINISTIC AUTOMATA; FEEDBACK INPUT; FUZZY FINITE STATE MACHINES; FUZZY MODELLING; HUMAN MACHINE INTERFACE; INTELLIGENT AGENT MODEL; NOVEL STRATEGIES; STATISTICAL FEATURES;

STRUCTURAL DESIGN;

EID: 84945583730     PISSN: 14746670     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.3182/20020721-6-es-1901.00686     Document Type: Conference Paper

References (8)

1. Estevez, J.I. (2001). Methodology Based on Fuzzy Logic for the Analysis of Continuous Signals with Symbolic Content. Thesis. Centro Superior de Informatica. University of La Laguna, Tenerife.
2. Jang, J.-S.R., C.-T. Sun and E. Mizutani (1997). Neuro-Fuzyy and Soft Computing. Matlab Curriculum Series. Prentice Hall. Upper Saddle River, NJ 07458.
3. Kulkarni, V.G. (2000). Discrete-time markov chains. In: Handbook of Discrete and Combinatorial Mathematics (H.K. Rosen, Ed.). pp. 468-477. CRC Press LLC.
4. Moreno, L., J.I. Estevez, R.M. Aguilar, J.L. Sanchez, J. Sigut, J.D. Pinieiro and R. Marichal (2000). Automatic analysis of signals with symbolic content. Artificial Intelligence in Medicine 18, 245-265.
5. Rabiner, L.R. (1989). A tutorial on hidden markov models and selected applications in speech recognition. Proceedings of the IEEE 77(2), 257-286.
6. Reyneri, L.M. (1997). An introduction to fuzzy state automata. In: Proc. of IWANN 1997, Int'l Workshop on Artificial Neural Networks. pp. 273-283. Lanzarote, Spain.
7. Setnes, M., R. Babuska, U. Kaymak and H.R. van Nauta Lemke (1998). Similarity measures in fuzzy rule base simplification. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 28(3), 377-385.
8. Yen, J. and L. Wang (1999). Simplifying fuzzy rule-based models using orthogonal transformations methods. IEEE Transactions on Systems, Man, and Cybernetics - Part B: Cybernetics 29(1), 13-24.