A new design of fuzzy logic controller based on generalized orthogonality principle

Proceedings of IEEE International Symposium on Computational Intelligence in Robotics and Automation, CIRA

Volumn , Issue , 2009, Pages 497-502

  Boumella, Nora ^a   Djouani, Karim ^a,b   Iqbal, Sohail ^a  

^a UNIVERSITÉ PARIS EST CRÉTEIL   (France)

^b Tshwane University of Technology   (South Africa)

Author keywords

[No Author keywords available]

Indexed keywords

BASIS VECTOR; CONTROL PERFORMANCE; DESIGN METHOD; ERROR VECTOR; FUZZY BASIS FUNCTIONS; FUZZY LOGIC CONTROLLERS; FUZZY LOGIC SYSTEM; GENERALIZED ORTHOGONALITY; INVERTED PENDULUM; LINEAR COMBINATIONS; LINGUISTIC RULES; NEW DESIGN; NON-LINEAR; NUMERICAL INFORMATION; OPTIMAL PARAMETER; SIMULATION RESULT; TRAINING DATA;

DESIGN; FUZZY SYSTEMS; LINGUISTICS; OPTIMIZATION; ROBOTICS;

FUZZY LOGIC;

EID: 77951170330     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIRA.2009.5423155     Document Type: Conference Paper

References (14)

1. L. Wang and J. M. Mendel, "Fuzzy Basis Functions, Universal Approximation, and Orthogonal Least Squares Learning," IEEE Trans. Neural Networks Vol.3, NO.5, Sep. 1992, pp. 807-814
2. S. Horikawa, T. Furuhashi and Y. Uchikawa, "On Fuzzy Modeling Using Fuzzy Neural Networks with the Back-Propagation Algorithm," IEEE Trans. Neural Networks, Vol.3, 1992, pp. 801-9227
3. J. Jang, "Self-Learning Fuzzy Controllers Based on Temporal Back Propagation," IEEE Trans. Neural Networks, 1992, pp 714-723
4. J. Mendel, G. Mouzouris, "Designing Fuzzy Logic Systems," IEEE Trans. Circuits and Systems II: Analog and Digital Signal Processing, Vol.44 1997, pp. 885-895
5. G. Strang, "Linear Algebra and its Applications," Third Edition, Brooks/Cole, February 1988
6. J. Leonard, M. Kramer and L. Ungar, "Using Radial BasisFunctions to Approximate a Function and Its Error Bounds," IEEE Trans. Neural Networks, Vol.3 1992, pp. 624-627
7. J. Mendel, "Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions," Prentice Hall, 2001
8. J. Garibaldi, and R. John, "Choosing Membership Functions of Linguistic Terms," Proc. of the 2003 IEEE International Conference on Fuzzy Systems, 2003, pp. 578-583
9. H. Berenji and P. Khedkar, "Learning and Tuning Fuzzy Logic Controllers through Reinforcements," IEEE Trans. Neural Networks, Vol.3, 1992, pp. 724-740
10. L. Wang, "Fuzzy Systems are Universal Approximators," Proc. IEEE Int'l. Conf. on Fuzzy Systems, San Diego, CA, 1992, pp.1163-2117
11. H. Li; H. Gatland, "A New Methodology for Designing a Fuzzy Logic Controller," IEEE Transactions on Systems, Man and Cybernetics, Vol.25, Issue 3, Mar. 1995 pp. 505-512
12. J. Castro, "Fuzzy Logic Controllers are Universal Approximators," IEEE Trans. Systems, Man and Cybernetics, 1995, pp. 629-635
13. B. Choi, S. Kwak and B. Kim, " Design and Stability of Single-Input Fuzzy Logic Controller," IEEE Transactions on Systems, Man, and Cybernetics, Vol.30, NO.2, April, 2000, pp. 303
14. R. Sepulveda, O. Castillo, P. Melin, A.Rodriguez and O. Montiel. "Experimental Study of Intelligent Controllers under Uncertainty using Type-1 and Type-2 Fuzzy Logic," Information Sciences 177 ,2007, pp. 2023-2048