Direct and Indirect Neural Identification and Control of a Continuous Bioprocess via Marquardt Learning
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Ieroham S. Baruch | Oscar Castillo | Josefina Barrera-Cortés | Carlos-Roman Mariaca-Gaspar | J. Barrera-Cortés | I. Baruch | C. Mariaca-Gaspar | O. Castillo
[1] Peter J. Gawthrop,et al. Neural networks for control systems - A survey , 1992, Autom..
[2] Liang Jin,et al. Stable dynamic backpropagation learning in recurrent neural networks , 1999, IEEE Trans. Neural Networks.
[3] Simon Haykin,et al. Neural Networks: A Comprehensive Foundation , 1998 .
[4] Marco Liserre,et al. Proceedings of the IEEE International Symposium on Industrial Electronics , 2007, ISIE 2007.
[5] A. Kazemy,et al. Second Order Diagonal Recurrent Neural Network , 2007, 2007 IEEE International Symposium on Industrial Electronics.
[6] Ieroham S. Baruch,et al. A levenberg–marquardt learning applied for recurrent neural identification and control of a wastewater treatment bioprocess , 2009, HIS 2009.
[7] Eric A. Wan,et al. Diagrammatic Methods for Deriving and Relating Temporal Neural Network Algorithms , 1997, Summer School on Neural Networks.
[8] Ieroham S. Baruch,et al. Recurrent Neural Network Identification and Adaptive Neural Control of Hydrocarbon Biodegradation Processes , 2008 .
[9] G. Siouris,et al. Optimum Systems Control , 1979, IEEE Transactions on Systems, Man and Cybernetics.
[10] Eric A. Wan,et al. Diagrammatic Derivation of Gradient Algorithms for Neural Networks , 1996, Neural Computation.
[11] Martin Guay,et al. Adaptive nonlinear control of continuously stirred tank reactor systems , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).
[12] Kwang Y. Lee,et al. Diagonal recurrent neural networks for dynamic systems control , 1995, IEEE Trans. Neural Networks.
[13] Vadim I. Utkin,et al. A control engineer's guide to sliding mode control , 1999, IEEE Trans. Control. Syst. Technol..
[14] Jovan D. Bošković,et al. Comparison of linear, nonlinear and neural-network-based adaptive controllers for a class of fed-batch fermentation processes , 1995, Autom..
[15] Paris A. Mastorocostas,et al. A stable learning algorithm for block-diagonal recurrent neural networks: application to the analysis of lung sounds , 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[16] Roderick G. Hebden,et al. On the design of sliding mode output feedback controllers , 2003 .
[17] Carla Purdy,et al. Hybrid intelligent systems for pattern recognition and signal processing , 2004 .
[18] George W. Irwin,et al. Nonlinear control structures based on embedded neural system models , 1997, IEEE Trans. Neural Networks.
[19] Jonas Sjöberg,et al. Efficient training of neural nets for nonlinear adaptive filtering using a recursive Levenberg-Marquardt algorithm , 2000, IEEE Trans. Signal Process..
[20] Kumpati S. Narendra,et al. Identification and control of dynamical systems using neural networks , 1990, IEEE Trans. Neural Networks.
[21] Stephen A. Billings,et al. Please Scroll down for Article , 1992 .
[22] Arie Levant,et al. Higher-order sliding modes, differentiation and output-feedback control , 2003 .