Power level control of the TRIGA Mark-II research reactor using the multifeedback layer neural network and the particle swarm optimization

Author:

Coban Ramazan

Publisher

Elsevier BV

Subject

Nuclear Energy and Engineering

Reference19 articles.

1. Aksu, I.O., 2013. Multifeedback-layer neural network controller design using particle swarm optimization algorithm for hard disk drive control. MSc Thesis, Cukurova University.

2. Adaptive control of a PWR core power using neural networks;Arab-Alibeik;Ann. Nucl. Energy,2005

3. Use of a rule-based system for process control;Bernard;IEEE Contr. Syst. Mag.,1988

4. Can, B., Yavuz, H., Akbay, E., 1990. The investigation of nonlinear dynamics behavior of ITU TRIGA Mark-II reactor. In: Eleventh European TRIGA Users Conference Papers and Abstracts, Germany, pp. 39–49.

5. A recurrent neural-network-based real-time learning control strategy applying to nonlinear systems with unknown dynamics;Chow;IEEE Trans. Ind. Electron.,1998

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