Intelligent active noise control applied to a laboratory railway coach model

Control Engineering Practice

Volumn 13, Issue 4, 2005, Pages 473-484

  Ayala Botto, M ^a   Sousa, J M C ^a   Sa da Costa J M G ^a  

^a INSTITUTO SUPERIOR TÉCNICO   (Portugal)

Author keywords

Active noise control; Fuzzy systems; Intelligent control; Inverse control; Neural networks

Indexed keywords

ACOUSTIC VARIABLES CONTROL; FUZZY CONTROL; NEURAL NETWORKS; NOISE ABATEMENT; NONLINEAR CONTROL SYSTEMS;

NONLINEAR ACOUSTIC MODELS; RAIL TRANSPORTATION; RAILWAY COACH; SOUND PRESSURE;

INTELLIGENT NETWORKS;

NOISE GENERATION;

EID: 11144337149     PISSN: 09670661     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.conengprac.2004.04.009     Document Type: Article

References (33)

1. Antila M. Nykänen H. Saarinen K. 1999 Multichannel electromechanical film panel loudspeaker. In 16th international conference on spatial sound reproduction, Audio Engineering Society.
2. Babuška R. Fuzzy modeling for control 1998 Kluwer Academic Publishers Boston
3. Babuška R. Sousa J.M.C. Verbruggen H. Inverse fuzzy model based predictive control Driankov D. Palm R. (Eds.), Advances in fuzzy control 1998 129-154 Physica-Verlag Heidelberg, New York
4. Batur C. Srinivasan A.Chan C.-C. 1993. Inverse fuzzy model controllers. In Proceedings of the American control conference, San Francisco, USA.
5. Bikerstaffe R. et-al. An analysis of railways vehicles acoustics Journal of Sound and Vibration 2 (43) 1975 265-272
6. Bouchard M. Dinh C.T.L. Improved training of neural networks for the nonlinear active control of sound and vibration IEEE Transactions on Neural Networks 10 (2) 1999 391-401
7. Boullart L. Krijgsman A. Vingerhoeds R. (Eds.) 1992. Application of artificial intelligence in process control. Oxford: Pergamon Press.
8. Boullart L. Krijgsman A. Vingerhoeds R. (Eds.) 1992. Application of artificial intelligence in process control. Oxford: Pergamon Press.
9. Conchinha J.M. Botto M. Sousa J.M. da Costa J.S. 2000 Acoustic noise modeling and identification using artificial neural network algorithms. In Proceedings of ICSV7-Seventh International Congress on Sound and Vibration, Garmisch-Partenkirchen, Germany 249-256
10. Cybenko G. Approximation by superposition of a sigmoidal function Mathematics of Control, Signals and Systems 2 1989 303-314
11. Danneskiold-Samsoe U. Thane H.W. Designers seek the low-noise railcar Railway Gazette International 1996 753-755
12. Elliott S. Signal processing for active control 2000 Academic Press London, UK
13. Elliott S. J. 1999 Active control of nonlinear systems. In Active 99, USA.
14. Gustafson D. Kessel W. 1979. Fuzzy clustering with a fuzzy covariance matrix. In Proceedings of IEEE CDC, San Diego, CA, USA 761-766
15. Hagan M.T. Menhaj M. Training feedforward networks with the marquardt algorithm IEEE Transactions on Neural Networks 5 (6) 1994 989-993
16. Haykin S. Neural networks: A comprehensive foundation 2nd ed. 1999 Prentice-Hall New Jersey, USA
17. Hunt K. Sbarbaro D. Zbikowski R. Gawthrop P. Neural networks for control systems-a survey IEEE Transactions on Neural Networks 28 1992 1083-1112
18. Jang J.-S. Anfis: Adaptive-network-based fuzzy inference system IEEE Transactions on Systems, Man, and Cybernetics 3 (23) 1993 665-685
19. Jang J.-S. Sun C.-T. Functional equivalence between radial basis function networks and fuzzy inference systems IEEE Transactions on Neural Networks 4 (1) 1993 156-159
20. Kosko B. Fuzzy systems as universal approximators IEEE Transactions on Computers 43 1994 1329-1333
21. Kruse R. Gebhardt J. Klawonn F. Foundations of fuzzy systems 1994 Wiley Chichester, UK
22. Lekkala J. 1997. The sound of silence...and other applications of the electromechanical film technology. Industrial Horizons December (12) 12-13
23. Nelson P. Elliott S. Active control of sound 1999 Academic Press UK
24. Sá da Costa J. Ayala Botto M. 1999. Active noise control inside train coaches. In International Conference on Enhancement and Promotion of Computational Methods in Engineering and Science, Macau, Portugal 777-786
25. Scheneider E. Popp E.K. Irretier H. Noise generation in railway wheels due to rail-wheel contact forces Journal of Sound and Vibration 2 (120) 1988 227-244
26. Silva C.A. Sousa J.M. Botto M. da Costa J.S. 2000. Acoustic noise identification using fuzzy modeling techniques. In Proceedings of ICSV7-Seventh International Congress on Sound and Vibration, Garmisch-Partenkirchen, Germany 3213-3220
27. Sousa J.M.C. Kaymak U. Fuzzy decision making in modeling and control 2002 World Scientific Pub. Co Singapore
28. Sousa J.M.C. Silva C. da Costa J.S. Fuzzy active noise modeling and control International Journal of Approximate Reasoning 33 (1) 2003 51-70
29. Takagi T. Sugeno M. Fuzzy identification of systems and its application to modeling and control IEEE Transactions on Systems, Man and Cybernetics 15 (1) 1985 116-132
30. Tokhi M. Leitch R. 1992. Active noise control, Engineering Science Series Edition. Oxford: Oxford Science Publications
31. Tokhi, M. Veres S. 1999. Intelligent adaptive active control of noise and vibration. In 14th IFAC World Congress, Beijing, China 477-482
32. Yen J. Wang L. Gillespie C. Improving the interpretability of TSK fuzzy models by combining global learning and local learning IEEE Transactions on Fuzzy Systems 6 (4) 1998 530-537
33. Zeng X. Singh M. Approximation theory of fuzzy systems-mimo case IEEE Transactions on Fuzzy Systems 3 (2) 1995 219-235