Algorithms of constructing a neural network model for a dynamic object of control and adjustment of PID controller parameters-Reference-Cited by-同舟云学术

Algorithms of constructing a neural network model for a dynamic object of control and adjustment of PID controller parameters

Published:2013-07 Issue:3 Volume:56 Page:247-256
ISSN:1068-7998
Container-title:Russian Aeronautics (Iz VUZ)
language:en
Short-container-title:Russ. Aeronaut.

Author:

Emaletdinova L. Yu.,Tsaregorodtseva E. D.

Publisher

Allerton Press

Subject

Aerospace Engineering

Link

http://link.springer.com/content/pdf/10.3103/S1068799813030069.pdf

Reference20 articles.

1. Rotach, V.Ya., Controller Setting by Modified Ziegler-Nichols Method, Promyshlennye ASU i Kontrollery, 2008, no. 2, pp. 38–42.

2. Ziegler, J.G. and Nichols, N.B., Optimum Settings for Automatic Controllers, Trans. of the ASME, 1942, vol. 64, pp. 759–768.

3. Åström, K. J and Hägglund, T, Advanced PID Control, ISA-The Instrumentation Systems and Automation Society, Research Tringle Park, 2006.

4. Omatu, S., Khalid, M., and Yusof, R., Neuro-Control and Its Applications, London: Springer, 1996.

5. Akhyar, S. and Omatu, S., Self-Tuning PID Control by Neural-Networks, Proc. of 1993 Int. Joint Conf. on Neural Networks, Nagoya, 1993, pp. 2749–2752.

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