Neural Optimal Control of PEM-Fuel Cells with Parametric CMAC Networks

Conference Record - IAS Annual Meeting (IEEE Industry Applications Society)

Volumn 2, Issue , 2003, Pages 723-730

  Almeida, Paulo E M ^a   Simões, M Godoy ^b  

^a CENTRO FEDERAL DE EDUCAÇÃO TECNOLÓGICA DE MINAS GERAIS   (Brazil)

^b Department of Geology and Geological Engineering   (United States)

Author keywords

Control Systems; Fuel Cells; Neural Networks; Optimal Control

Indexed keywords

ALGORITHMS; ELECTRIC POTENTIAL; NEURAL NETWORKS; OPTIMAL CONTROL SYSTEMS; SIGNAL PROCESSING; VECTORS;

FUZZY INFERENCE SYSTEMS; NEURAL OPTIMAL CONTROL;

FUEL CELLS;

EID: 0242508327     PISSN: 01972618     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (28)

1. Albus, J.S. "A New Approach to Manipulator Control: The Cerebellar Model Articulation Controller," Journal of Dynamical Systems, Meas. & Control, Transactions of ASME, pp. 220-227, September, 1975.
2. Albus, J.S. "Data Storage in the Cerebellar Model Articulation Controller," Journal of Dynamical Systems, Meas. & Control, Transactions of ASME, pp. 228-233, September, 1975.
3. Almeida, P.E.M. & Simões, M.G. "Fundamentals of a Fast Convergence Parametric CMAC Network," Proceedings of IEEE-INNS IJCNN, V. 3, pp. 3015-3020, Washington, DC, 2001.
4. th IEEE-IECON, pp. 1844-1849, Denver, CO, 2001.
5. Almeida, P.E.M. & Simões, M.G. "Parametric CMAC Networks: Fundamentals and Application of a Fast Convergence Neural Structure," Proceedings of IEEE-IAS 2002, Pittsburgh, PA, 2002.
6. Almeida, P.E.M. "Redes Neurais CMAC Paramétricas: Fundamentes e Aplicações em Processamento de Sinais e Controle de Processes," PhD Thesis, Escola Politécnica, University of Sao Paulo, p. 177, 2002.
7. Corrêa, J.M.; Farret, F.A. & Canha, L.N. "An Analysis of the Dynamic Performance of Proton Exchange Membrane Fuel Cells Using an Electrochemical Model," IECON'01, Proceedings of the 27th Annual Conference of the IEEE Industrial Electronics Society, Denver, CO, pp. 141-146, 2001.
8. Corrêa, J.M. "Subsídios Teóricos e Práticos para Modelagem e Simulação de Pilhas de Células de Combustível," Master Dissertation, Federal University of Santa Maria, p. 196, 2002.
9. Corrêa, J.M.; Farret, F.A.; Gomes, J.R. & Simões, M.G. "Simulation of fuel cell stacks using a computer-controlled power rectifier with the purposes of actual high power injection applications". Accepted for Publication in IEEE Transactions on Industry Applications, 2003.
10. Dunay, R. & Horváth, G. "Modified CMAC Neural Network Architectures for Nonlinear Dynamic System Modelling," Proceedings of the International Conference on Artificial Neural Networks (ICANN'93), Amsterdam, Holland, pp. 473, 1993.
11. Geng, Z.J. & Mccullough, C.L. "Missile Control Using Fuzzy CMAC Neural Networks," AIAA Journal of Guidance, Control, and Dynamics, V. 20, N. 3, May-June 1997.
12. Kim, J. "Modeling of Proton Exchange Membrane Fuel Cell Performance with an Empirical Equation," Journal of Electrochemical. Society. N. 142, pp. 2670-2674, 1995.
13. Lane, S.H.; Handelman, D.A. & Gelfand, J.J. "Theory and Development of Higher-order CMAC Neural Networks," IEEE Control Systems Magazine, V. 12, N. 2, pp. 23-30, April 1992.
14. Lo, J.T. & Bassu, D. "Adaptive vs. Accommodative Neural Networks for Adaptive System Identification," Proceedings of IEEE-INNS International Joint Conference on Neural Networks, V. 2, pp. 1279-1284, Washington, DC, 2001.
15. Lo, J.T. & Bassu, D. "Adaptive Multilayer Perceptrons with Long- and Short-Term Memories," IEEE Trans. on Neural Networks, V. 13, N. 1, pp. 22-33, January, 2002.
16. Lo, Ji-Chang & Chen, Yu-Min. "Stability Issues on Takagi-Sugeno Fuzzy Model-Parametric Approach," IEEE Transactions On Fuzzy Systems, V. 7, N. 5, pp. 597-608, October, 1999.
17. Mann, R. F. "Development and Application of a Generalized Steady-State Electrochemical Model for a PEM Fuel Cell," Journal of Power Sources, N. 86, pp. 173-180, 2000.
18. Meireles, M.R.G.; Almeida, P.E.M. & Simões, M.G. "A Comprehensive Review About Industrial Applicability of Artificial Neural Networks," IEEE Trans. on Industrial Electronics, V. 50, N. 3, 2003.
19. Miller III, W.T.; Glanz, F.H. & Kraft III, L.G. "Application of a General Learning Algorithm to the Control of Robotic Manipulators," The International Journal of Robotics Research, V. 6, N. 2, pp. 84-98, 1987.
20. Mischo, W.S.; Hormel, M. & Tolle, H. "Neurally Inspired Associative Memories for Learning Control: A Comparison," Proceedings of the 1991 International Conference on Artificial Neural Networks (ICANN'91), Amsterdam, Holland, Elsevier Publishers, 1991.
21. Narendra, K. S. & Parthasarathy, K. "Identification and Control of Dynamical Systems using Neural Networks," IEEE Trans. on Neural Networks, V. 1, N. 1, pp. 4-27, 1990.
22. Norgaard, M.; Ravn, O.; Poulsen, N.K. & Hansen, L.K. "Neural Networks for Modelling and Control of Dynamic Systems," Springer-Verlag, ISBN 1-85233-227-1, p. 246, London, 2000.
23. Prokhorov, D. & Wunsch, D.C. "Adaptive Critic Designs," IEEE Transactions on Neural Networks, V. 8, N. 5, pp. 997-1007, September, 1997.
24. Seong, C-Y. & Widrow, B. "Neural Dynamic Optimization for Control Systems," IEEE Systems, Man and Cybernetics, Part B: Cybernetics, V. 31, N. 4, pp. 482-513, August, 2001.
25. Sugeno, M. & Rang. G.T. "Structure Identification of a Fuzzy Model," Fuzzy Sets & Systems, V. 28, N. 1, pp. 15-33, 1988.
26. Takagi, T. & Sugeno, M. "Fuzzy Identification of Systems and Its Applications to Modelling and Control," IEEE Trans. on Systems, Man and Cybernetics, V. SMC-15, N. 1, pp. 116-132, January/February, 1985.
27. Werbos, P.J. "A Menu of Designs for Reinforcement Learning Over Time," Neural Networks for Control, Miller, Sutton & Werbos (Eds.), MIT Press, 1990.
28. Ying, Hao. "General SISO Takagi-Sugeno Fuzzy Systems with Linear Rule Consequent are Universal Approximators," IEEE Transactions on Fuzzy Systems, V. 6, N. 4, pp. 582-587, November, 1998.