Dynamic Systems Identification and Control by Means of Complex-Valued Recurrent Neural Networks

Author:

Baruch Ieroham,Quintana Victor Arellano,Reynaud Edmundo Pérez

Publisher

Springer International Publishing

Reference16 articles.

1. Amer, R.A., Morsy, G.A., Yassin, H.A.: SCG stability enhancement using STATCOM based-ANN controller. WSEAS Trans. Syst. Control 6(9), 325–338 (2011)

2. Zhang, Y., Hongsheng, S.: Turbo-generator vibration fault diagnosis based on PSO-BP neural networks. WSEAS Trans. Syst. Control 5(1), 37–47 (2010)

3. Zemouri, R., Gouriveau, R., Patic, P.C.: Combining a recurrent neural network and a PID controller for prognostic purpose: away to improve the accuracy of predictions. WSEAS Trans. Syst. Control 5(5), 353–371 (2010)

4. Lin, D., Wang, X., Nian, F., Zhang, Y.: Dynamic fuzzy neural networks modeling and adaptive back-stepping tracking control of uncertain chaotic systems. Neurocomputing 73(11–18), 2873–2881 (2010)

5. Zhang, H., Wang, X., Lin, X., Liu, C.: Stability and synchronization for discrete-time complex-valued neural networks with time varying delays. PLOS ONE 9(4), 6 (2014). e93838.pdf

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