Statistical comparison of type-1 and type-2 fuzzy systems design with genetic algorithms in the case of three tank water control

Proceedings of the 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, IFSA/NAFIPS 2013

Volumn , Issue , 2013, Pages 1056-1061

  Cervantes, Leticia ^a   Castillo, Oscar ^a  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

Author keywords

Fuzzy Control; Genetic ALgorithm; Granular computing; Type 2 Fuzzy System

Indexed keywords

STATISTICAL COMPARISONS; TYPE-2 FUZZY SYSTEMS; WATER CONTROL;

FUZZY CONTROL; FUZZY SYSTEMS; GRANULAR COMPUTING; OPTIMIZATION; TANKS (CONTAINERS); WATER LEVELS;

GENETIC ALGORITHMS;

EID: 84886494781     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IFSA-NAFIPS.2013.6608546     Document Type: Conference Paper

References (24)

1. W.Pedrycz. A. Skowron, V. Kreinovich., handbook granular computing Wiley-Interscience New York, NY, USA ©2008 ISBN:0470035544 9780470035542 2008.
2. A. Bargiela and W. Pedrycz. Granular Computing: An Introduction. Kluwer Academic Publishers, Dordercht, 2003.
3. L.A. Zadeh. Some reflections on soft computing, granular computing and their roles in the conception, design and utilization of information/intelligent systems. Soft Comput. 2 (1998)pp. 23-25.
4. L.A. Zadeh. Outline of a new approach to the analysis of complex systems and decision processes. IEEE Trans.Syst. Man Cybern. SMC-3 (1973) pp.28-44.
5. A. Bargiela, W. Pedrycz, IEEE. The roots of Granular Computing. GrC 2006 pp. 806-809.
6. W. Pedrycz and S. Chen. Granular Computing and Intelligent Systems, 2011 Springer-Verlag Berlin Heidelberg. ISBN 978-3-642- 19819-9.
7. D. Wu, J. Mendel: On the Continuity of Type-1 and Interval Type-2 Fuzzy Logic Systems IEEE T. Fuzzy Systems 2011. 19(1): 179-192.
8. N. Karnik and J. Mendel, Centroid of a type-2 fuzzy set, Information Sciences, vol. 132, pp. 195-220, 2001.
9. J. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions. Upper Saddle River, NJ: Prentice-Hall, 2001.
10. D. Wu, A Brief Tutorial on Interval Type-2 Fuzzy Sets and Systems, July 22, 2010.
11. J.R. Castro. Tutorial type-2 fuzzy logic theory and applications. IEEE Computational intelligence society mexico chapter. 3rd International seminar on computational intelligence 2006.
12. J.R.Castro, O. Castillo, P. Melin, A. Rodriguez, O. Mendoza. Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identification. IFSA/EUSFLAT Conf. 2009. pp.1382-1387.
13. J.R.Castro, O. Castillo, P. Melin, A. Rodriguez. Building Fuzzy Inference Systems with a New Interval Type-2 Fuzzy Logic Toolbox. Transactions on Computational Science 1.2008 pp. 104-114.
14. L. Cervantes, O. Castillo. Design of a Fuzzy System for the Longitudinal Control of an F-14 Airplane. Studies in Computational Intelligence, 2011, Volume 318/2011, pp.213-224.
15. R. Sepulveda, O. Castillo, P. Melin, O. Montiel: An efficient computational method to implement type-2 fuzzy logic in control application. Analysis and design of intelligent system using soft computing techniques 2007, pp.45-52.
16. T.S. No, B.M. Mina, R.H. Stone, K.C. Wong. "Control and simulation of arbitrary flight trajectory-tracking". Department of Aerospace Engineering, Chonbuk National University, Deokjin Dong, Chonju NSW 2006. pp. 560-756..
17. Y. Yu, L. Chen, F. Sun, C. Wu. Matlab/Simulink-based simulation for digital-control system of marine three-shaft gas-turbine. Applied Energy, Volume 80 Issue 1. January 2005.pp. 1-10.
18. T.S. No, J-E. Kim, J.H. Moon, S.J. Kim. Modeling, control, and simulation of dual rotor wind turbine generator system. Renewable Energy, Volume 34, Issue 10, October 2009, Pp. 2124-2132.
19. H. Niemann, J. Stoustrup. Passive fault tolerant control of a double inverted pendulum a case study.Control Engineering Practice, Volume 13, Issue 8. August 2005.pp.1047-1059.
20. L. Cervantes, O. Castillo: Hierarchical Genetic Algorithms for Optimal Type-2 Fuzzy System Design . Annual Meeting of the North American Fuzzy Information Processing Society, 2011.pp. 324-329.
21. L. Cervantes, O. Castillo: Automatic Design of Fuzzy Systems for Control of Aircraft Dynamic Systems with Genetic Optimization. World Congress and AFSS International Conference.2011. pp. OS-413-1-OS- 413-7.
22. P.Melin . O. Castillo., Intelligent control of aircraft dynamic systems with a new hybrid neuro- fuzzy-fractal Approach, Journal, Volume 142 Issue 1, May 2002.pp.161-175.
23. P. Melin, O. Castillo. Adaptive intelligent control of aircraft system with a hybrid approach combining neural network, fuzzy logic and fractal theory. Appl. Soft Comput. 3(4), 2003.pp. 363-378.
24. L. Cervantes, O. Castillo : Comparative Study of Type-1 and Type-2 Fuzzy Systems for the Three-Tank Water Control Problem. LNAI 7630, 2013. pp. 362-373, 2013.Springer.