Gravitational Search Algorithm-based tuning of fuzzy control systems with a reduced parametric sensitivity

Advances in Intelligent and Soft Computing

Volumn 96 AISC, Issue , 2011, Pages 141-150

  Precup, Radu Emil ^a   David, Radu Codruţ ^a   Petriu, Emil M ^b   Preitl, Stefan ^a   Paul, Adrian Sebastian ^a  

^a POLITEHNICA UNIVERSITY OF TIMISOARA   (Romania)

^b UNIVERSITY OF OTTAWA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

FUZZY CONTROL; FUZZY SYSTEMS; LEARNING ALGORITHMS; OPTIMAL SYSTEMS; PARAMETER ESTIMATION; SENSITIVITY ANALYSIS; SOFT COMPUTING; THREE TERM CONTROL SYSTEMS; TWO TERM CONTROL SYSTEMS;

GRAVITATIONAL SEARCH ALGORITHM (GSA); GRAVITATIONAL SEARCH ALGORITHMS; OPTIMIZATION PROBLEMS; PARAMETRIC SENSITIVITY; PARAMETRIC VARIATION; PROPORTIONAL INTEGRAL; QUADRATIC PERFORMANCE INDICES; SENSITIVITY FUNCTIONS;

PROCESS CONTROL;

EID: 84867836675     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-20505-7_12     Document Type: Conference Paper

References (35)

1. Abonyi, J.: Fuzzy Model Identification for Control. Birkhäuser, Boston (2003)
2. Bodenhofer, U., Klawonn, F.: Robust rank correlation coefficients on the basis of fuzzy orderings: Initial steps. Mathware and Soft Computing 15, 5-20 (2008)
3. Blažič, S., Škrjanc, I., Gerkšič, S., Dolanc, G., Strmčnik, S., Hadjiski, M.B., Stathaki, A.: Online fuzzy identification for an intelligent controller based on a simple platform. Engineering Applications of Artificial Intelligence 22, 628-638 (2009)
4. Boucher, X., Bonjour, E., Grabot, B.: Formalisation and use of competencies for industrial performance optimisation: A survey. Computers in Industry 58, 98-117 (2007)
5. Campos, F.M.M.O., Calado, J.M.F.: Approaches to human arm movement control - A review. Annual Reviews in Control 33, 69-77 (2009)
6. Carrano, E.G., Takahashi, R.H.C., Fonseca, C.M., Neto, O.M.: Non-linear network optimization - An embedding vector space approach. IEEE Transactions on Evolutionary Computation 14, 206-226 (2010)
7. Chen, J., Kong, C.K.: Performance assessment for iterative learning control of batch units. Journal of Process Control 19, 1043-1053 (2009)
8. th International Symposium on Applied Computational Intelligence and Informatics, Timisoara, Romania, pp. 491-496 (2009)
9. Deb, K., Gupta, S., Daum, D., Branke, J., Mall, A.K., Padmanabhan, D.: Reliability-based optimization using evolutionary algorithms. IEEE Transactions on Evolutionary Computation 13, 1054-1074 (2009)
10. Ekel, P.Y., Menezes, M., Schuffner Neto, F.H.: Decision making in a fuzzy environment and its application to multicriteria power engineering problems. Nonlinear Analysis: Hybrid Systems 1, 527-536 (2007)
11. Ferreira, J.C., Fonseca, C.M., Gaspar-Cunha, A.: Assessing the quality of the relation between scalarizing function parameters and solutions in multiobjective optimization. In: Proceedings of IEEE Congress on Evolutionary Computation, Trondheim, Norway, pp. 1131-1136 (2009)
12. Haber, R.E., Haber-Haber, R., Jiménez, A., Galán, R.: An optimal fuzzy control system in a network environment based on simulated annealing. An application to a drilling process. Applied Soft Computing 9, 889-895 (2009)
13. Hermann, G., Tar, J.K., Kožowski, K.R.: Design of a planar high precision motion stage. In: Kožowski, K.R. (ed.) Robot Motion and Control 2009. LNCIS, vol. 396, pp. 371-379. Springer, Heidelberg (2009)
14. Hidalgo, D., Melin, P., Castillo, O.: Optimal design of type-2 fuzzy membership functions using genetic algorithms in a partitioned search space. In: Proceedings of IEEE Conference on Granular Computing, Silicon Valley, CA, USA, pp. 212-216 (2010)
15. Holliday, D., Resnick, R., Walker, J.: Fundamentals of Physics, 7th edn. John Wiley & Sons, Hoboken (2005)
16. th International Conference on Intelligent Engineering Systems, Budapest, Hungary, pp. 99-104 (2007)
17. Ko, M., Tiwari, A., Mehnen, J.: A review of soft computing applications in supply chain management. Applied Soft Computing 10, 661-674 (2010)
18. th International Conference on Hybrid Intelligent Systems, Auckland, New Zealand, pp. 3-3 (2006)
19. López-Ibáñez, M., Stützle, T.: The impact of design choices of multiobjective antcolony optimization algorithms on performance: An experimental study on the biobjective TSP. In: Proceedings of Genetic and Evolutionary Computation Conference, Portland, OR, USA, pp. 71-78 (2010)
20. Navarro-López, E.M., Licéaga-Castro, E.: Combining passivity and classical frequency-domain methods: An insight into decentralised control. Applied Mathematics and Computation 215, 4426-4438 (2010)
21. Nouyan, S., Gross, R., Bonani, M., Mondada, F., Dorigo, M.: Teamwork in self-organized robot colonies. IEEE Transactions on Evolutionary Computation 13, 695-711 (2009)
22. Oliveira, C., Henggeler Antunes, C.: Multiple objective linear programming models with interval coefficients - an illustrated overview. European Journal of Operational Research 181, 1434-1463 (2007)
23. Precup, R.E., Preitl, S.: Optimisation criteria in development of fuzzy controllers with dynamics. Engineering Applications of Artificial Intelligence 17, 661-674 (2004)
24. Precup, R.E., Preitl, S., Korondi, P.: Fuzzy controllers with maximum sensitivity for servosystems. IEEE Transactions on Industrial Electronics 54, 1298-1310 (2007)
25. Preitl, S., Precup, R.E.: An extension of tuning relations after symmetrical optimum method for PI and PID controllers. Automatica 35, 1731-1736 (1999)
26. Rashedi, E., Nezamabadipour, H., Saryazdi, S.: GSA: A gravitational search algorithm. Information Sciences 179, 2232-2248 (2009)
27. Rashedi, E., Nezamabadi-pour, H., Saryazdi, S.: BGSA: binary gravitational search algorithm. Natural Computing 9, 727-745 (2010)
28. Ridluan, A., Manic, M., Tokuhiro, A.: EBaLM-THP - artificial neural network thermo-hydraulic prediction tool for an advanced nuclear components. Nuclear Engineering and Design 239, 308-319 (2009)
29. Rosenwasser, E., Yusupov, R.: Sensitivity of Automatic Control Systems. CRC Press, Boca Raton (2000)
30. Saxena, A., Saad, A.: Evolving an artificial neural network classifier for condition monitoring of rotating mechanical systems. Applied Soft Computing 7, 441-454 (2007)
31. Vaščák, J.: Fuzzy cognitive maps in path planning. Acta Technica Jaurinensis, Series Intelligentia Computatorica 1, 467-479 (2008)
32. Wang, X., Gao, X.Z., Ovaska, S.J.: Fusion of clonal selection algorithm and harmony search method in optimisation of fuzzy classification systems. International Journal of Bio-Inspired Computation 1, 80-88 (2009)
33. Wang, Y.G., Xu, X.M.: PID tuning for unstable processes with sensitivity specification. In: Proceedings of Chinese Control and Decision Conference, Guilin, China, pp. 3460-3464 (2009)
34. Xu, J., Wu, H., Wang, Y.: Unpower aerocraft augmented state feedback tracking guaranteed cost control. Journal of Systems Engineering and Electronics 19, 125-130 (2008)
35. th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Vancouver, BC, Canada, pp. 3091-3094 (2008)