Adaptive Critic-based Neurofuzzy Controller for the Steam Generator Water Level
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[1] Alexander G. Parlos,et al. Nonlinear control of U-tube steam generators via H∞ control , 2000 .
[2] P. Werbos,et al. Beyond Regression : "New Tools for Prediction and Analysis in the Behavioral Sciences , 1974 .
[3] Manfred Morari,et al. Level control in the steam generator of a nuclear power plant , 2000, IEEE Trans. Control. Syst. Technol..
[4] Yoon Joon Lee,et al. Design of an adaptive predictive controller for steam generators , 2003 .
[5] Lionel Jouffe,et al. Fuzzy inference system learning by reinforcement methods , 1998, IEEE Trans. Syst. Man Cybern. Part C.
[6] Alois Höld. UTSG-2—A Theoretical Model Describing the Transient Behavior of a Pressurized Water Reactor Natural-Circulation U-Tube Steam Generator , 1990 .
[7] Byung Hak Cho,et al. Design of stability-guaranteed fuzzy logic controller for nuclear steam generators , 1996 .
[8] Byung Hak Cho,et al. Design of stability and performance robust fuzzy logic gain scheduler for nuclear steam generators , 1997 .
[9] C. S. George Lee,et al. Reinforcement structure/parameter learning for neural-network-based fuzzy logic control systems , 1994, IEEE Trans. Fuzzy Syst..
[10] Richard S. Sutton,et al. Neuronlike adaptive elements that can solve difficult learning control problems , 1983, IEEE Transactions on Systems, Man, and Cybernetics.
[11] Peter Dayan,et al. Q-learning , 1992, Machine Learning.
[12] Paul J. Werbos,et al. Applications of advances in nonlinear sensitivity analysis , 1982 .
[13] Bernard Widrow,et al. Punish/Reward: Learning with a Critic in Adaptive Threshold Systems , 1973, IEEE Trans. Syst. Man Cybern..
[14] S Grossberg,et al. Pavlovian pattern learning by nonlinear neural networks. , 1971, Proceedings of the National Academy of Sciences of the United States of America.
[15] I. Pavlov. Conditioned Reflexes: An Investigation of the Physiological Activity of the Cerebral Cortex , 1929 .
[16] R. Godson. Elements of intelligence , 1979 .
[17] R. Bellman. Dynamic programming. , 1957, Science.
[18] John S. Edwards,et al. The Hedonistic Neuron: A Theory of Memory, Learning and Intelligence , 1983 .
[19] Paul J. Werbos,et al. New directions in ACDs: keys to intelligent control and understanding the brain , 2000, Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium.
[20] A. Parlos,et al. Gain-Scheduled Nonlinear Control of U-Tube Steam Generator Water Level , 1992 .
[21] Man Gyun Na,et al. Auto-tuned PID controller using a model predictive control method for the steam generator water level , 2001 .
[22] Chuan-Kai Lin,et al. Adaptive critic autopilot design of Bank-to-turn missiles using fuzzy basis function networks , 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).
[23] Chris Watkins,et al. Learning from delayed rewards , 1989 .
[24] Man Gyun Na. Design of a genetic fuzzy controller for the nuclear steam generator water level control , 1998 .
[25] Paul J. Werbos,et al. The Roots of Backpropagation: From Ordered Derivatives to Neural Networks and Political Forecasting , 1994 .
[26] Paul J. Werbos,et al. The roots of backpropagation , 1994 .
[27] S.R. Munasinghe,et al. Adaptive neurofuzzy controller to regulate UTSG water level in nuclear power plants , 2005, IEEE Transactions on Nuclear Science.
[28] Dimitri P. Bertsekas,et al. Dynamic Programming: Deterministic and Stochastic Models , 1987 .
[29] Hee Cheon No,et al. Quantitative evaluation of swelling or shrinking level contributions in steam generators using spectrum analysis , 1993 .
[30] Hamid R. Berenji,et al. Learning and tuning fuzzy logic controllers through reinforcements , 1992, IEEE Trans. Neural Networks.
[31] Yves Chauvin,et al. Backpropagation: theory, architectures, and applications , 1995 .
[32] Peter Norvig,et al. Artificial intelligence - a modern approach, 2nd Edition , 2003, Prentice Hall series in artificial intelligence.