Adaptive fuzzy neural network control on the acoustic field in a duct

Applied Acoustics

Volumn 69, Issue 6, 2008, Pages 558-565

  Chen, K T ^a   Chou, C H ^a   Chang, S H ^a   Liu, Y H ^a  

^a NATIONAL TAIWAN UNIVERSITY   (Taiwan)

Author keywords

Active noise control; Error back propagation; Fuzzy neural network

Indexed keywords

ACOUSTIC FIELDS; ACOUSTIC VARIABLES CONTROL; ADAPTIVE CONTROL SYSTEMS; ERROR ANALYSIS; FUZZY NEURAL NETWORKS; FUZZY RULES; LEARNING ALGORITHMS;

ATTENUATION; CONTROL ERROR; DOWNSTREAM OF DUCT; PURE TONE NOISE;

NOISE ABATEMENT;

EID: 41849084093     PISSN: 0003682X     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.apacoust.2006.11.011     Document Type: Article

References (24)

1. Nelson P.A., and Elliott S.J. Active control of sound (1992), Academic Press, London
2. Jessel M., and Mangiante G.A. Active sound absorbers in an air duct. J Sound Vib 23 3 (1972) 383-390
3. Elliot S.J., Stothers I.M., and Nelson P.A. A multiple error LMS algorithm and its application to the active control of sound and vibration. IEEE Trans Acoust, Speech Signal Process 35 4 (1987)
4. Chen K.T., Chen Y.N., Chen W., and Liu Y.H. Adaptive active control on the acoustic transmission of the acoustic sources in aperture at low frequencies. Appl Acoust 54 2 (1998) 141-164
5. Hu J. Feedback and feed-forward control strategy for active noise cancellation in ducts. J Dyn Syst, Meas Contr, ASME 118 (1996) 372-378
6. Pools J.H.B., and Leventhall H.G. An experimental study of Swinbanks' method of active attenuation of sound in duct. J Sound Vib 49 (1976) 257-266
7. Berengier M., and Roure A. Broadband active sound absorption in a duct carrying uniformly flowing fluid. J Sound Vib 68 (1990) 437-449
8. Kuo S.M., and Morgan D.R. Active noise control: a tutorial review. Proc IEEE 87 6 (1999)
9. Carmona J.C., and Alvarado V.M. Active noise control of a duct using robust control theory. IEEE Trans Contr Syst Technol 8 6 (2000)
10. Morzynski L. Active noise control system based on neural network. Proc Active (2002) 729-738
11. Silva C.A., Sousa J.M., Botto M.A., and SádaCosta J.M.G. Active acoustic noise identification using fuzzy modeling techniques. ISCSV7 seventh international congress on sound and vibration (2000), Garmisch-Partenkichen, Germany 3213-3220
12. Baruch I., Flores J.M., Thomas F., and Garrido R. Adaptive neural control of non-linear systems. ICANN (2001)
13. Lin C.T., and Lee C.S.G. Neutral fuzzy systems: a neural-fuzzy synergism to intelligent systems (1996), Prentice Hall, NJ
14. Brown M., and Harris C.J. Neurofuzzy adaptive modelling and control. Series in systems and control engineering (1994), Prentice Hall. 0-13-134453-6
15. Wang L.X., and Mendel J.M. Back-propagation fuzzy system as non-linear dynamic system identifiers. IEEE Proc Int Conf Fuzzy Syst (1992) 1409-1418
16. Chen F.C. Back-propagation neural networks for non-linear self-tuning adaptive control. IEEE Contr Syst Magaz (1990) 44-48
17. Yu W., and Li X. Fuzzy identification using fuzzy neural networks with stable learning algorithms. IEEE Trans Fuzzy Syst 12 3 (2004)
18. Lee C.H., and Lin Y.C. An adaptive neuro-fuzzy filter design via periodic fuzzy neural network. Signal Process 85 (2005) 401-411
19. Abiyev R.H. Recurrent neural network based fuzzy inference system for identification and control of dynamic plants. Int J Comput Intell 1 3 (2004)
20. Lin C.T., and Lee C.S.G. Neural network based fuzzy logic control and decision system. IEEE Trans Comput 40 12 (1991)
21. Jang J.-S.R., Sun C.-T., and Mizutani E. Neuro-fuzzy and soft computing: a computational approach to learning and machine intelligence (1997), Prentice Hall
22. Tokhi M.O. Intelligent methods for active noise and vibration control. Arch Acoust 29 2 (2004) 259-273
23. Kim E.J., Lee S.Y., Kim B.S., and Lim M.T. Multiple-channel active noise control by ANFIS and independent component analysis without secondary path modeling. ICCAS (2001)
24. Mamdani E.H., and Assilian S. An experiment in linguistic synthesis with a fuzzy logic controller. Int J Man-Mach Stud 7 1 (1975) 1-13