Optimization of interval type-2 fuzzy logic controller using quantum genetic algorithms

IEEE International Conference on Fuzzy Systems

Volumn , Issue , 2012, Pages

  Shill, Pintu Chandra ^a   Amin, Md Faijul ^a   Akhand, M A H ^b   Murase, Kazuyuki ^a  

^a UNIVERSITY OF FUKUI   (Japan)

^b KUET   (Bangladesh)

Author keywords

Interval Type 2 FLC; Interval Type 2 fuzzy sets; Mobile Robot; Optimization; Quantum Genetic Algorithms

Indexed keywords

CONTROL PROCESS; DESIGN PROCESS; FUZZY LOGIC CONTROLLERS; HEURISTIC KNOWLEDGE; INTERVAL TYPE-2 FLC; INTERVAL TYPE-2 FUZZY LOGIC CONTROLLERS; INTERVAL TYPE-2 FUZZY SETS; MODEL UNCERTAINTIES; NUMERICAL EXPERIMENTS; QUANTUM GENETIC ALGORITHM; REAL-TIME APPLICATION; ROBOT MANIPULATOR; RULE SET; SEVERE NONLINEARITY; TYPE-2 FUZZY LOGIC CONTROLLERS; TYPE-2 FUZZY SET;

FUZZY LOGIC; FUZZY SETS; FUZZY SYSTEMS; MOBILE ROBOTS; OPTIMIZATION; ROBOT APPLICATIONS; UNCERTAINTY ANALYSIS;

GENETIC ALGORITHMS;

EID: 84867600079     PISSN: 10987584     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/FUZZ-IEEE.2012.6251207     Document Type: Conference Paper

References (35)

1. Pierre Guillemin, "Fuzzy Logic Applied to Motor Control," IEEE Trans. on Industry application, vol. 32, no.1, pp. 51-56, Jan/Feb 1996. (Pubitemid 126772754)
2. Shang-Ming Zhou and John Q. Gan, "Constructing L2-SVM-Based Fuzzy Classifiers in High Dimensional Space with Automatic Model Selection and Fuzzy Rule Ranking," IEEE Trans. Fuzzy Syst., vol. 15, no. 3, pp. 398-409, June 2007. (Pubitemid 46971552)
3. Z. Liu and H.X. Li, "A probabilistic fuzzy logic system for modelling and control," IEEE Trans. Fuzzy Syst., vol. 13, pp. 848-859, 2005. (Pubitemid 43065967)
4. L.X. Wang, "Stable adaptive fuzzy control of nonlinear systems," IEEE Trans. Fuzzy Syst., vol. 1, pp. 146-155, 1993.
5. I-Hsum Li and Lian-Wang Lee, "A hierarchical structure of observer-based adaptive fuzzy-neural controller for MIMO systems," Fuzzy Sets and Systems, vol. 185, issue 1, pp. 52-82, 2011.
6. M. López-Ibáñez and T. Stützle, "The impact of design choices of multi-objective ant colony optimization algorithms on performance: An experimental study on the bi-objective TSP," in Proc. Genetic and Evolutionary Computation Conference, Portland, OR, USA, 2011, pp.71-78.
7. J.C. Ferreira, C.M. Fonseca, and A. Gaspar-Cunha, "Assessing the quality of the relation between scalarizing function parameters and solutions in multi-objective optimization," in Proc. IEEE Congress on Evolutionary Computation, Trondheim, Norway, 2009, pp.1131-1136.
8. P.C. Shill, K. K. Pal, M.F. Amin and K. Murase, "Genetic algorithm based fully automated and adaptive fuzzy logic controller" in Proc. IEEE Int. Conf. Fuzzy Systems, Jun. 2011, pp. 1572 - 1579.
9. R. Martínez-Soto, O. Castillo, and L.T. Aguilar, "Optimization of interval type-2 fuzzy logic controllers for a perturbed autonomous wheeled mobile robot using genetic algorithms," Information Sciences, vol. 179, pp. 2158-2174, 2009.
10. R. Jain, N. Sivakumaran, and T.K. Radhakrishnan, "Design of self tuning fuzzy controllers for nonlinear systems," Expert Systems with Applications, vol. 38, pp. 4466-4476, 2011.
11. R.-E. Precup, R.-C. David, E.M. Petriu, S. Preitl, and M.-B. Rǎdac, "Fuzzy control systems with reduced parametric sensitivity based on simulated annealing," IEEE Trans. Industrial Electronics, vol. 99, pp. 1-15, 2011.
12. G.-R. Yu, Y.-J. Huang, and L.-W. Huang, "T-S fuzzy control for magnetic levitation systems using quantum particle swarm optimization," in Proc. SICE Annual Conference, 2010, Taipei, Taiwan, pp. 48-53.
13. Z. Bingül and O. Karahan, "A Fuzzy Logic Controller tuned with PSO for 2 DOF robot trajectory control," Expert Systems with Applications, vol. 38, pp. 1017-1031, 2011.
14. R.-E. Precup, R.-C. David, E. M. Petriu, S. Preitl, and A. S. Paul, "Gravitational Search Algorithm-Based Tuning of Fuzzy Control Systems with a Reduced Parametric Sensitivity," Soft Computing in Industrial Applications, A. Gaspar-Cunha, R. Takahashi, G. Schaefer, and L. Costa, eds., Springer-Verlag, pp.141-150, 2011.
15. R.-E. Precup, R.-C. David, E. M. Petriu, M.-B. Rǎdac, S. Preitl, and J. Fodor, "Evolutionary optimization-based tuning of low-cost fuzzy controllers for servo systems," Knowledge Based Systems, DOI: 10.1016/j.knosys.2011.07.006, 2011.
16. E.G. Carrano, R.H.C. Takahashi, C.M. Fonseca, and O.M. Neto, "Non-linear network optimization - A embedding vector space approach," IEEE Trans. Evolutionary Computation, vol. 14, pp. 206-226, 2010.
17. X. Wang, X.Z. Gao, and S.J. Ovaska, "Fusion of clonal selection algorithm and harmony search method in optimization of fuzzy classification systems," Int. J. Bio-Inspired Computation, vol. 1, pp. 80-88, 2009.
18. T. Nakashima, Y. Yokota, Y. Shoji, and H. Ishibuchi, "A genetic approach to the design of autonomous agents for futures trading," Int. J. Artificial Life and Robotics, vol. 11, pp. 145-148, 2009. (Pubitemid 47263566)
19. H. A. Hagras, "A hierarchical type-2 fuzzy logic control architecture for autonomous mobile robots," IEEE Trans. Fuzzy Systems, vol.12, no.4, pp.524-539, 2004.
20. J.M. Mendel, Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Prentice-Hall, Englewood Cliffs, NJ, 2001.
21. P. Melin and O. Castillo, "Intelligent control of nonlinear dynamic plants using type-2 fuzzy logic and neural networks," in Proc. of NAFIPS, 2002, pp. 22-27.
22. D. W. W. W. Tan, "A simplified type-2 fuzzy logic controller for real-time control," ISA Trans., vol. 45, pp.503-516, 2006.
23. L. A. Zadeh, "The concept of a linguistic variable and its application to approximate reasoning-I," Inform. Sci., vol.8, pp.199-249, 1975.
24. J. Mendel and R. John, "Type-2 fuzzy sets made simple," IEEE Trans. Fuzzy Syst., vol. 10, pp. 117-127, Apr. 2002. (Pubitemid 34554858)
25. Q. Liang, N. Karnik, and J. Mendel, "Connection admission control in ATM networks using survey-based type-2 fuzzy logic systems," IEEE Trans. Syst., Man, Cybern. C, vol. 30, pp. 329-339, Aug. 2000. (Pubitemid 32076169)
26. J. Mendel, Uncertain Rule-Based Fuzzy Logic Systems: Introduction and New Directions, Upper Saddle River, NJ: Prentice-Hall, 2001.
27. J. M. Jou, P. Y. Chen, and S. F. Yang, "An Adaptive Fuzzy Logic Controller: Its VLSI Architecture and Applications," IEEE Trans. Very Large Scale Integration (VLSI) Systems, vol.8, no.1, pp. 52-60, Feb. 2000.
28. N. N. Karnik and J. M. Mendel, "Operations on type-2 fuzzy sets," Fuzzy Sets and Systems, vol. 122, pp. 327-348, 2001.
29. M. Mizumoto and K. Tanaka, "Some Properties of fuzzy sets of type-2," Infom. Control, vol. 31, pp.312-340, 1976.
30. M. Mohammadian and R. J. Stonier, "Fuzzy logic and genetic algorithms for intelligent control and obstacle avoidance," in Complex Systems: Mechanism of Adaptation, R. J. Stonier and X. H. Yu, Eds. Amsterdam: IOS Press, 1994, pp. 149-156.
31. P. C. Shill, M.A.H. Akhand, M. F. Amin, K. Murase "Optimization of Fuzzy Logic Controller for Trajectory Tracking using Genetic Algorithm," J. Advanced Computational Intelligence and Intelligent Informatics (JACIII), Vol. 15, No. 6, pp.639-651, 2011.
32. R. Zhang and H. Gao, "Real -coded quantum evolutionary algorithm for complex function with high dimension," in Proc. IEEE Int. Conf. Mechatronics and Automation, Aug. 2007, pp. 2974-2979. (Pubitemid 350245119)
33. Y. Li. and Y. Li, "Neural-fuzzy control of truck backer-upper system using a clustering method," Neuro Computing, vol.70, pp. 680-688, 2007. (Pubitemid 46043965)
34. R. I. John, "Embeded interval valued type-2 fuzzy sets," in Proc. FUZZ-IEEE Int. Conf., May 2002, pp. 1316-1319.
35. R.I. John and C. Czarnecki, "A type 2 adaptive fuzzy inferencing system," in Proc. IEEE Systems, Man and Cybernetics, pp.2068-2073, 1998.