Dynamic system identification using a type-2 recurrent fuzzy neural network

Proceedings of 2009 7th Asian Control Conference, ASCC 2009

Volumn , Issue , 2009, Pages 768-772

  Juang, Chia Feng ^a   Lin, Yang Yin ^a   Chun, I Fang ^b  

^a NATIONAL CHUNG HSING UNIVERSITY   (Taiwan)

^b NATIONAL YANG MING UNIVERSITY   (Taiwan)

Author keywords

[No Author keywords available]

Indexed keywords

APRIORI; DYNAMIC SYSTEM IDENTIFICATION; INPUT AND OUTPUTS; INTERVAL TYPE-2 FUZZY SETS; INTERVAL WEIGHTS; ON DYNAMICS; PARAMETER LEARNING; RECURRENT FUZZY NEURAL NETWORK; RECURRENT FUZZY RULES; TAKAGI-SUGENO;

DYNAMIC PROGRAMMING; DYNAMICAL SYSTEMS; FUZZY NEURAL NETWORKS; FUZZY SETS;

IDENTIFICATION (CONTROL SYSTEMS);

EID: 71449117894     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (17)

1. C. H. Lee and C. C. Teng, "Identification and control of dynamic systems using recurrent fuzzy neural networks," IEEE Trans. Fuzzy Systems, vol. 8, no. 4, pp. 349-366, Aug. 2000.
2. P. A. Mastorocostas and J. B. Theocharis, A recurrent fuzzy-neural model for dynamic system identification, IEEE Trans. Syst., Man and Cyber., Part B: Cybernetics, vol. 32, no. 2, pp. 176-190, 2002.
3. C. J. Lin and C. C. Chin, "Prediction and identification using wavelet-based recurrent fuzzy neural networks," IEEE Trans. Systems, Man and Cybernetics - Part B: Cybernetics, vol. 34, no. 5, 2144-2154, 2004.
4. C.F. Juang and C.T. Lin, "A recurrent self-organizing neural fuzzy inference network," IEEE Trans. Neural Networks, vol.10, no. 4, pp. 828-845, Jul. 1999.
5. C. F. Juang, "A TSK-type recurrent fuzzy network for dynamic systems processing by neural network and genetic algorithm," IEEE Trans. Fuzzy Systems, vol. 10, no. 2, pp. 155-170, April 2002.
6. C. F. Juang and J. S. Chen, "Water bath temperature control by a recurrent fuzzy controller and its FPGA implementation," IEEE Trans. Industrial Electronics, vol. 53, no. 3, pp. 941-949, June 2006.
7. J. B. Theocharis, "A high-order recurrent neuro-fuzzy system with internal dynamics: Application to the adaptive noise cancellation," Fuzzy Sets and Systems, vol. 157, no. 4, pp. 471-500, 2006.
8. J. M. Mendel, Uncertain Rule-Based Fuzzy Logic System: Introduction and New Directions, Prentice Hall, Upper Saddle River, NJ, 2001.
9. J. M. Mendel, "Type-2 fuzzy sets and systems: An overview," IEEE Computational Intelligence Magazine," vol. 2, no. 1, pp.20-29, Feb. 2007.
10. C. H. Lee, Y. C. Lin, and W. Y. Lai, "Systems identification using type-2 fuzzy neural network (Type-2 FNN) systems," Proc. IEEE Int. Symp. Computational Intelligence in Robotics and Automation, vol. 3, pp. 1264-1269, 2003.
11. C. H. Wang, C. S. Cheng, and T. T. Lee, "Dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)," IEEE Trans. on Syst., , Man, and Cyber. - Part B: Cybernetics, vol. 34, no. 3, pp. 1462-1477, 2004.
12. J. M. Mendel, "Computing derivatives in interval type-2 fuzzy logic system," IEEE Trans. On Fuzzy Systems, vol. 12. no. 1, pp. 84-98, Feb. 2004.
13. H. Hagras, "Comments on dynamical optimal training for interval type-2 fuzzy neural network (T2FNN)," IEEE Trans. Syst., Man and Cyber. - Part B: Cybernetics, vol. 36, no. 5, pp. 1206-1209, Oct. 2006.
14. G. M. Mendez and O. Castillo, "Interval type-2 TSK fuzzy logic systems using hybrid learning algorithm," Proc. IEEE Int. Conf. Fuzzy Systems, pp. 230-235, May 22-25, 2005.
15. C. F. Juang and Y. W. Tsao, "A self-evolving interval type-2 fuzzy neural network with on-line structure and parameter learning," IEEE Trans. Fuzzy Systems, vol. 16, no. 6, pp. 1411-1424, Dec. 2008.
16. C. F. Juang and Y. W. Tsao, "A type-2 self-organizing neural fuzzy system and its FPGA implementation," IEEE Trans. Syst., Man, and Cyber., Part B: Cybernetics, vol. 38, no. 6, pp. 1537-1548, Dec. 2008.
17. C. F. Juang and C. T. Lin, "An on-line self-constructing neural fuzzy inference network and its applications," IEEE Trans. Fuzzy Systems, vol. 6. no. 1, pp. 12-32, Feb. 1998.