Comparing sensitivity and robustness of fuzzy and neuro-fuzzy controllers

Proceedings - HIS 2005: Fifth International Conference on Hybrid Intelligent Systems

Volumn 2005, Issue , 2005, Pages 3-5

  Moratori, Patrick B ^a   De Andrade, Leila Cristina V ^a   De Oliveira Cruz, Adriano Joaquim ^a   Lima, Cabral ^a  

^a FEDERAL UNIVERSITY OF RIO DE JANEIRO   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTER SIMULATION; MATHEMATICAL MODELS; NEURAL NETWORKS; PROBLEM SOLVING; ROBUSTNESS (CONTROL SYSTEMS); SENSITIVITY ANALYSIS;

HYBRID SYSTEMS; KNOWLEDGE EXTRACTION; NEURO-FUZZY CONTROLLERS;

FUZZY CONTROL;

EID: 33846971282     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICHIS.2005.28     Document Type: Conference Paper

References (6)

1. R. J. Jang, C. Sun, and E. Mizutani. Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence. Prenticed Hall, Englewood Cliffs, 1996.
2. B. Kosko and S. Kong. Comparison of Fuzzy and Neural Truck Backer-Upper Control Systems,. Prentice Hall, Englewood Cliffs, 1992.
3. G. Langari and M. Tomizuka. Stability of fuzzy linguistic control systems. In Proceedings of the 1990 29th Conference on Decision and Control, pages 2185-2190, 1990.
4. D. Nguyen and B. Widrow. The truck backer-upper: An example of self-learning in neural networks. In Proceedings of International Joint Conference on Neural Networks (IJCNN-89), pages 357-363, 1998.
5. J. Yen and R. Langari. Fuzzy Logic: Intelligence, Control and Information. Prenticed Hall, Englewood Cliffs, 1999.
6. L. Zadeh. Fuzzy sets. Information and Control, 8(3):338-353, August 1965.