Type-1 and Type-2 fuzzy logic controller design using a Hybrid PSO-GA optimization method

Information Sciences

Volumn 285, Issue 1, 2014, Pages 35-49

  Martínez Soto, Ricardo ^a   Castillo, Oscar ^a   Aguilar, Luis T ^b  

^a TIJUANA INSTITUTE OF TECHNOLOGY   (Mexico)

^b INSTITUTO POLITÉCNICO NACIONAL   (Mexico)

Author keywords

Fuzzy logic controller; Genetic algorithm; Particle swarm optimization

Indexed keywords

FUZZY LOGIC; GENETIC ALGORITHMS; IDENTIFICATION (CONTROL SYSTEMS); MEMBERSHIP FUNCTIONS; NAVIGATION; PARTICLE SWARM OPTIMIZATION (PSO); TRAFFIC SIGNALS;

AUTONOMOUS MOBILE ROBOT; BIO-INSPIRED METHODS; CONTROL APPLICATIONS; FUZZY LOGIC CONTROLLERS; OPTIMAL CONTROLLER; STEADY STATE ERRORS; TRAJECTORY TRACKING CONTROL; TYPE-1 AND TYPE-2 FUZZY LOGIC CONTROLLER;

CONTROLLERS;

EID: 84914111729     PISSN: 00200255     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ins.2014.07.012     Document Type: Article

References (35)

1. W.F. Abd-El-Wahed, A.A. Mousa, M.A. El-Shorbagy, Integrating particle swarm optimization with genetic algorithms for solving nonlinear optimization problems, J. Comput. Appl. Math. 235 (5) (2011) 1446-1453.
2. R. Alcalá, J. Alcalá-Fdez, F. Herrera, A proposal for the genetic lateral tuning of linguistic fuzzy systems and its interaction with rule selection, IEEE Trans. Fuzzy Syst. 15 (4) (2007) 616-635.
3. R. Alcalá, M.J. Gacto, F. Herrera, J. Alcalá-Fdez, A multi-objective genetic algorithm for tuning and rule selection to obtain accurate and compact linguistic fuzzy rule-based systems, Int. J. Uncertain. Fuzz. Knowl.-Based Syst. 15 (5) (2007) 539-557.
4. P.J. Angeline, Evolutionary optimization versus particle swarm optimization: philosophy and performance differences, in: Evolutionary Programming VII, Lecture Notes in Computer Science, vol. 1447, Springer, 1998, pp. 601-610.
5. P.J. Angeline, Using selection to improve particle swarm optimization, in: Proceedings 1998 IEEE World Congress on Computational Intelligence, IEEE, Anchorage, Alaska, 1998, pp. 84-89.
6. J. Casillas, O. Cordon, M.J. Del Jesús, F. Herrera, Genetic tuning of fuzzy rule deep structures preserving interpretability and its interaction with fuzzy rule set reduction, IEEE Trans. Fuzzy Syst. 13 (1) (2005) 13-29.
7. Z. Chi, H. Yan, T. Pham, Fuzzy Algorithms: With Applications to Image Processing and Pattern recognition, World Scientific, Singapore, 1996.
8. O. Cordon, F. Gomide, F. Herrera, F. Hoffmann, L. Magdalena, Ten years of genetic fuzzy systems: current framework and new trends, Fuzzy Sets Syst. 141 (1) (2004) 5-31.
9. D. Driankov, H. Hellendoorn, M. Reinfrank, An Introduction to Fuzzy Control, Springer, Berlin, 1993.
10. R.C. Eberhart, J. Kennedy, A new optimizer using particle swarm theory, in: Proceedings of the Sixth International Symposium on Micromachine and Human Science, Nagoya, Japan, 1995, pp. 39-43.
11. A.P. Engelbretht, Fundamentals of Computational Swarm Intelligence, John Wiley & Sons Ltd., England, 2005. pp. 5-129.
12. M.H. Fazel Zarandi, I.B. Turksen, S.M. Hadian, Development of a neuro-fuzzy controller for a steam generation plant using fuzzy cluster analysis, J. Intell. Fuzzy Syst. 18 (2007) 57-71.
13. P. Fazendeiro, J.V. De Oliveira, W. Pedrycz, A multiobjective design of a patient and anaesthetist-friendly neuromuscular blockade controller, IEEE Trans. Biomed. Eng. 54 (9) (2007) 1667-1678.
14. D.B. Fogel, An introduction to simulated evolutionary optimization, IEEE Trans. Neural Networks 5 (1) (1994) 3-14.
15. T. Fukao, H. Nakagawa, N. Adachi, Adaptive tracking control of a nonholonomic mobile robot, IEEE Trans. Robot. Automat. 16 (5) (2000) 609-615.
16. F. Herrera, Genetic fuzzy systems: taxonomy, current research trends and prospects, Evolut. Intell. 1 (2008) 27-46.
17. F. Herrera, M. Lozano, J.L. Verdegay, Tuning fuzzy logic controllers by genetic algorithms, Int. J. Approx. Reason. 12 (3-4) (1995) 299-315.
18. Yi-T. Kao, E. Zahara, Hybrid genetic algorithm and particle swarm optimization for multimodal functions, Appl. Soft Comput. 8 (2) (2008) 849-857.
19. J. Kennedy, R. Mendes, Population structure and particle swarm performance, in: Proceedings of IEEE Conference on Evolutionary Computation, 2002, pp. 1671-1676.
20. J. Kennedy, R. Mendes, The particle swarm-explosion, stability, and convergence in a multidimensional complex space, IEEE Trans. Evolut. Comput. 6 (1) (2002) 58-73.
21. D.H. Kim, Hybrid GA-BF based intelligent PID controller tuning for AVR system, Appl. Soft Comput. 11 (1) (2011) 11-22.
22. T.H. Lee, F.H.F. Leung, P.K.S. Tam, Position Control for Wheeled Mobile Robot Using a Fuzzy Controller, IEEE, 1999. pp. 525-528.
23. Q. Liang, J.M. Mendel, Interval type-2 fuzzy logic systems: theory and design, IEEE Trans. Fuzzy Syst. 8 (5) (2000) 535-550.
24. Y. Marinakis, M. Marinaki, A hybrid genetic - particle swarm optimization algorithm for the vehicle routing problem, Expert Syst. Appl. 37 (2) (2010) 1446-1455.
25. R. Martínez, O. Castillo, L.T. Aguilar, A. Rodríguez, Optimization of type-2 fuzzy logic controllers for mobile robots using evolutionary methods, in: Proceedings of the 2009 IEEE International Conference on Systems, Man, and Cybernetics San Antonio, TX, USA, October 2009, pp. 4909-4914.
26. R. Martínez, O. Castillo, L.T. Aguilar, Intelligent control for a perturbed autonomous wheeled mobile robot using type-2 fuzzy logic and genetic algorithms, J. Automat., Mob. Robot. Intell. Syst. 2 (2008).
27. P. Melin, O. Castillo, A new method for adaptive control of non-linear plants using type-2 fuzzy logic and neural networks, Int. J. Gen. Syst. 33 (2) (2004) 289-304.
28. O. Montiel, O. Castillo, P. Melin, A. Rodríguez Díaz, R. Sepúlveda, Human evolutionary model: a new approach to optimization, Inf. Sci. 177 (10) (2007) 2075-2098.
29. O. Montiel, R. Sepulveda, P. Melin, O. Castillo, M.A. Porta Garcia, I.M. Meza Sanchez, Performance of a simple tuned fuzzy controller and PID controller on a DC motor, in: Foundations of Computational Intelligence, IEEE Symposium Series on Computational Intelligence (FOCI'07), Honolulu, Hawaii, USA, April 1-5, 2008, pp. 531-537.
30. S. Muhammad, Z. Saira, F. Muddassar, A hybrid GA-PSO fuzzy system for user identification on Smartphones, in: GECCO'09 Proceedings of the 11th Annual Conference on Genetic and Evolutionary Computation, Montreal-Canada, July 8-12, 2009, pp. 1617-1624.
31. Q. Niu, B. Jiao, X. Gu, Particle swarm optimization combined with genetic operators for job shop scheduling problem with fuzzy processing time, Appl. Math. Comput. 205 (1) (2008) 148-158.
32. W. Pedrycz, Fuzzy Modeling: Paradigms and Practice, Kluwer Academic Press, Dordrecht, 1996.
33. R. Sepúlveda, O. Montiel, O. Castillo, P. Melin, Optimizing the MFs in type-2 fuzzy logic controllers, using the human evolutionary model, Int. Rev. Automat. Control (IREACO), Theory Appl. 3 (1) (2010) 1-10 (Italy).
34. P.K. Tripathi, S. Bandyopadhyay, S. Kumar Pal, Multi-objective particle swarm optimization with time variant inertia and acceleration coefficients, Inf. Sci. 177 (22) (2007) 5033-5049.
35. F. Valdez, P. Melin, O. Castillo, An improved evolutionary method with fuzzy logic for combining particles swarm optimization and genetic algorithms, Appl. Soft Comput. - Impact Comput. Progress Artif. Intell. 11 (2) (2011) 2625-2632.