Improved Nuclear Reactor Temperature Control Using Diagonal Recurrent Neural Networks

IEEE Transactions on Nuclear Science

Volumn 39, Issue 6, 1992, Pages 2298-2308

  Ku, Chao Chee ^a   Lee, Kwang Y ^a   Edwards, R M ^a  

^a PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 0039821037     PISSN: 00189499     EISSN: 15581578     Source Type: Journal    
DOI: 10.1109/23.211440     Document Type: Article

References (14)

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2. R. M. Edwards, K. Y. Lee, and M. A. Schultz, “State feedback assisted classical control: An incremental approach for control modernization of existing and future nuclear reactors and power plants,” Nucl. Technol., vol. 92, pp. 167–185, 1990.
3. R. M. Edwards, K. Y. Lee, and A. Ray, “Robust optimal control of nuclear reactors and power plants,” Nucl. Technol., vol. 98, pp. 137–148, May 1992.
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7. E. Eryurek and B. R. Upadhyaya, “Sensor validation for power plants using adaptive back-propagation neural network,” IEEE Trans. Nucl. Sci., vol. 37, no. 2, pp. 1040–1047, April 1990.
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9. C. C. Ku and K. Y. Lee, “System identification and control using diagonal recurrent neural networks,” Proc. 1992 American Control Conference, vol. I, pp. 545–549, Chicago, June 24–26, 1992.
10. ——“Diagonal recurrent neural networks for dynamic systems control,” accepted in IEEE Trans. on Neural Networks.
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12. R. M. Edwards, Robust Optimal Control of Nuclear Reactor, Ph.D. Thesis in Nuclear Engineering, The Pennsylvania State University, University Park, May 1991.
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