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THE INVESTIGATION OF UCG CONTROL METHODS

Kacur, Jan, Durdan, Milan

First published: 2015https://doi.org/10.5593/sgem2015/b21/s7.047View metrics

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Publication details

Title
THE INVESTIGATION OF UCG CONTROL METHODS
Authors
Kacur, Jan, Durdan, Milan
Proceedings
SGEM International Multidisciplinary Scientific GeoConference EXPO Proceedings; 15th International Multidisciplinary Scientific GeoConference SGEM2015, INFORMATICS, GEOINFORMATICS AND REMOTE SENSING
Publisher
Stef92 Technology
Year
2015
Pages
375-382
ISSN
1314-2704
ISBN
978-619-7105-34-6
Language
en
Publication type
Conference Paper
References12
  1. Driankov, D., Saffiotti A., A Fuzzy Logic Techniques for Autonomous Vehicle Navigation, Physica – Verlag Ed., Heidelberg.

  2. Godjevac, J., Neuro-Fuzzy Controllers Design and Application, Presses Polytechnique et Universitaires Romanes, Lausanne, 1997.

  3. Horikawa, S., Furuhashi, T., Uchikawa, Y., On Identification of Structures in Premises of a Fuzzy Model Using a Fuzzy Neural Network, Second IEEE International Conference on Fuzzy Systems, Volume 1, pp. 661-666, 1993.

  4. Leon, F., Galea, D., Applications of neuro-fuzzy systems in the field of artificial learning, Lecture Notes, Technical University Gheorghe Asachi, Iasi, 2003.

  5. Popescu, C., Bucur, G., Popescu, C., Neuro-fuzzy Control for Khepera III mobile robot, The 19 th International DAAAM Symposium, “Intelligent Manufacturing & Automation: Focus on Next Generation of Intelligent Systems and Solutions”, 22 - 25th October, 2008, Trnava, Slovakia.

  6. Wang., L.X., Adaptive Fuzzy Systems and Control Design and Stability Analysis, Prentice Hall, 1994. Fuzzy controller Σ Adaptation input output + desired output error International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

  7. Driankov, D., Saffiotti A., A Fuzzy Logic Techniques for Autonomous Vehicle Navigation, Physica – Verlag Ed., Heidelberg.

  8. Godjevac, J., Neuro-Fuzzy Controllers Design and Application, Presses Polytechnique et Universitaires Romanes, Lausanne, 1997.

  9. Horikawa, S., Furuhashi, T., Uchikawa, Y., On Identification of Structures in Premises of a Fuzzy Model Using a Fuzzy Neural Network, Second IEEE International Conference on Fuzzy Systems, Volume 1, pp. 661-666, 1993.

  10. Leon, F., Galea, D., Applications of neuro-fuzzy systems in the field of artificial learning, Lecture Notes, Technical University Gheorghe Asachi, Iasi, 2003.

  11. Popescu, C., Bucur, G., Popescu, C., Neuro-fuzzy Control for Khepera III mobile robot, The 19 th International DAAAM Symposium, “Intelligent Manufacturing & Automation: Focus on Next Generation of Intelligent Systems and Solutions”, 22 - 25th October, 2008, Trnava, Slovakia.

  12. Wang., L.X., Adaptive Fuzzy Systems and Control Design and Stability Analysis, Prentice Hall, 1994. Fuzzy controller Σ Adaptation input output + desired output error International Multidisciplinary Scientific GeoConfenferences SGEM 2015 www.sgem.org

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