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Predictive Neural Network in Multipurpose Self-Tuning Controller Cover

Predictive Neural Network in Multipurpose Self-Tuning Controller

By: Oleksiy Bondar  
Open Access
|Jul 2020

References

  1. 1. Ayomoh M. K. O., Ajala M. T. (2012), Neural Network Modeling of a Tuned PID Controller, European Journal of Scientific Research, 71, 283–297.
  2. 2. Burennikov Y., Kozlov L., Pyliavets V., Piontkevich O. (2017), Mechatronic Hydraulic Drive with Regulator, Based on Artificial Neuron Network, IOP Conference Series: Materials Science and Engineering, 209(1):012071.10.1088/1757-899X/209/1/012071
  3. 3. Du X., Wang J., Jegatheesan V., Shi G. (2018), Dissolved Oxygen Control in Activated Sludge Process Using a Neural Network-Based Adaptive PID Algorithm, Applied Sciences, 8(2):261, DOI: 10.3390/app8020261.10.3390/app8020261
  4. 4. Elsisi M. (2019), Design of neural network predictive controller based on imperialist competitive algorithm for automatic voltage regulator, Neural Computing and Applications, 31, 5017–5027.10.1007/s00521-018-03995-9
  5. 5. Han G., Fu W., Wang W., Wu Z. (2017), The Lateral Tracking Control for the Intelligent Veicle Based on Adaptive PID Neural Network, Sensors, 17(6):1244, DOI: 10.3390/s17061244.10.3390/s17061244549236428556817
  6. 6. Heaton J. (2008), Introduction to Neural Networks with Java, Heaton Research Inc., St. Louis.
  7. 7. Hernández-Alvarado R., García-Valdovinos L.G., Salgado-Jiménez T., Gómez-Espinosa A., Fonseca-Navarro F. (2016), Neural Network-Based Self-Tuning PID Control for Underwater Vehicles, Sensors, 16(9), 1429, https://doi.org/10.3390/s16091429.10.3390/s16091429503870727608018
  8. 8. https://stackoverflow.com/questions/10732027/fast-sigmoid-algorithm (08.02.2018)
  9. 9. Liu B., Hussami N., Shrikumar A., Shimko T., Bhate S., Longwell S., Montgomery S., Kundaje A. (2019), A multi-modal neural network for learning cis and trans regulation of stress response in yeast, arXiv:1908.09426.
  10. 10. Ma H., Lang S., Wellßow W. (2018) Fallback Solution for a Low-Voltage Regulator Control using Artificial Neural Networks, CIRED 2018 Ljubljana WS, http://dx.doi.org/10.34890/413.
  11. 11. MacLean D. (2019), A convolutional neural network for predicting transcriptional regulators of genes in Arabidopsis transcriptome data reveals classification based on positive regulatory interactions, bioRxiv 618926.10.1101/618926
  12. 12. Pirabakaran K., Becerra V.M. (2002), PID autotuning using neural networks and model reference adaptive control, IFAC Proceedings, 35, 451–456.10.3182/20020721-6-ES-1901.00728
  13. 13. Wica M., Witkowsk M., Szumiec A., Ziebura T. (2019), Weather forecasting system with the use of neural network and backpropagation algorithm, Proceedings of the International Conference on Data Engineering and Communication Technology, 2468, 37–41, DOI: 10.1007/978-981-10-1675-2_62.10.1007/978-981-10-1675-2_62
  14. 14. Zaman M.H.M., Marzuki M.M., Hannan M.A., Hussain A. (2018), Neural Network Based Prediction of Stable Equivalent Series Resistance in Voltage Regulator Characterization, Bulletin of Electrical Engineering and Informatics, 7, 134–142, DOI: 10.11591/eei.v7i1.857.10.11591/eei.v7i1.857
  15. 15. Zhang Z., Ma C., Zhu R. (2016), Self-Tuning Fully-Connected PID Neural Network System for Distributed Temperature Sensing and Control of Instrument with Multi-Modules, Sensors, 16(10):1709, DOI: 10.3390/s16101709.10.3390/s16101709508749727754436
  16. 16. Zhao D., Yang T., Ou H., Zhou H. (2018), Autopilot Design for Unmanned Surface Vehicle based on CNN and ACO, International Journal of Computers Communications & Control, 13(3), 429–439, DOI: 10.15837/ijccc.2018.3.3236.10.15837/ijccc.2018.3.3236
DOI: https://doi.org/10.2478/ama-2020-0017 | Journal eISSN: 2300-5319 | Journal ISSN: 1898-4088
Language: English
Page range: 114 - 120
Submitted on: Apr 16, 2020
Accepted on: Jul 22, 2020
Published on: Jul 24, 2020
Published by: Bialystok University of Technology
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year

© 2020 Oleksiy Bondar, published by Bialystok University of Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.