Support Vector Machine Based Identification of Inverse Dynamic Model of Thermal System and Its Application-Reference-Cited by-同舟云学术

Support Vector Machine Based Identification of Inverse Dynamic Model of Thermal System and Its Application

Published:2007 Issue: Volume: Page:914-917
ISSN:
Container-title:Challenges of Power Engineering and Environment
language:
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Author:

Shen Shuguang,Wang Guangjun,Chen Hong

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-540-76694-0_170.pdf

Reference12 articles.

1. B. Widrow, “Adaptive inverse control”, Second IFAC Workshop on Adaptive Systems in Control and Signal Processing, 1986.

2. Han Pu, Zhang Hai-ling and Zhang Li-jing, “Simulation study on neural network based adaptive inverse control”, Journal of North China Electric Power University, Vol. 28, No.3, pp.26–30, 2001.

3. Fazlur Rahman M H and Devanathan R, “Neural network approach for linearing control of nonlinear process plants”, IEEE Trans And Electron, Vol. 47, No. 2, pp. 470–477, 2000.

4. Norgaard M, Ravn O and Poulsen N K, “NNSYSID and NNCTRL tools for system identification and control with neural networks”, Computing & Control Engineering Journal, Vol. 12, No. 1, pp.29–36,2001.

5. Srivastava Smriti, Singh Madhusudan, Hanmandlu M and Jha A.N, “Identification of nonlinear systems using wavelets and neural network”, IETE Journal of Research, Vol. 52, No. 4, pp.305–313, 2006.

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