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A practical implementation of self-evolving cloud-based control of a pilot plant

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A practical implementation of self-evolving cloud-based control of a pilot plant. / Costa, Bruno; Skrjanc, Igor; Blazic, Sasho; Angelov, Plamen.

2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013. Piscataway, N.J. : IEEE, 2013. p. 7-12.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paperpeer-review

Harvard

Costa, B, Skrjanc, I, Blazic, S & Angelov, P 2013, A practical implementation of self-evolving cloud-based control of a pilot plant. in 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013. IEEE, Piscataway, N.J., pp. 7-12. https://doi.org/10.1109/CYBConf.2013.6617464

APA

Costa, B., Skrjanc, I., Blazic, S., & Angelov, P. (2013). A practical implementation of self-evolving cloud-based control of a pilot plant. In 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013 (pp. 7-12). IEEE. https://doi.org/10.1109/CYBConf.2013.6617464

Vancouver

Costa B, Skrjanc I, Blazic S, Angelov P. A practical implementation of self-evolving cloud-based control of a pilot plant. In 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013. Piscataway, N.J.: IEEE. 2013. p. 7-12 https://doi.org/10.1109/CYBConf.2013.6617464

Author

Costa, Bruno ; Skrjanc, Igor ; Blazic, Sasho ; Angelov, Plamen. / A practical implementation of self-evolving cloud-based control of a pilot plant. 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013. Piscataway, N.J. : IEEE, 2013. pp. 7-12

Bibtex

@inproceedings{e4dc924ffd3a4ad09ce31df2992e7258,
title = "A practical implementation of self-evolving cloud-based control of a pilot plant",
abstract = "This paper presents the implementation of a first order self-evolving cloud-based controller for the liquid level of a two-tank pilot plant. The controller is based on the AnYa type fuzzy rule-based system (FRB), which has a parameter-free antecedent part, and can learn autonomously on-line with each new input data collected and output generated, with no prior knowledge of the system or off-line training. Two types of controllers are considered: a PD-type controller, with simulated and real results; and a MRC-type controller, with simulated results. Regarding the practical implementation, a real continuous process didactic plant was used as a representation of a real industrial environment through the OLE for Process Control (OPC) communication protocol. It has been demonstrated the possibility of building autonomously and in an unsupervised manner a controller capable of developing and adapting itself in a real-time industrial automation application.",
author = "Bruno Costa and Igor Skrjanc and Sasho Blazic and Plamen Angelov",
year = "2013",
doi = "10.1109/CYBConf.2013.6617464",
language = "English",
isbn = "9781467364690",
pages = "7--12",
booktitle = "2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013",
publisher = "IEEE",

}

RIS

TY - GEN

T1 - A practical implementation of self-evolving cloud-based control of a pilot plant

AU - Costa, Bruno

AU - Skrjanc, Igor

AU - Blazic, Sasho

AU - Angelov, Plamen

PY - 2013

Y1 - 2013

N2 - This paper presents the implementation of a first order self-evolving cloud-based controller for the liquid level of a two-tank pilot plant. The controller is based on the AnYa type fuzzy rule-based system (FRB), which has a parameter-free antecedent part, and can learn autonomously on-line with each new input data collected and output generated, with no prior knowledge of the system or off-line training. Two types of controllers are considered: a PD-type controller, with simulated and real results; and a MRC-type controller, with simulated results. Regarding the practical implementation, a real continuous process didactic plant was used as a representation of a real industrial environment through the OLE for Process Control (OPC) communication protocol. It has been demonstrated the possibility of building autonomously and in an unsupervised manner a controller capable of developing and adapting itself in a real-time industrial automation application.

AB - This paper presents the implementation of a first order self-evolving cloud-based controller for the liquid level of a two-tank pilot plant. The controller is based on the AnYa type fuzzy rule-based system (FRB), which has a parameter-free antecedent part, and can learn autonomously on-line with each new input data collected and output generated, with no prior knowledge of the system or off-line training. Two types of controllers are considered: a PD-type controller, with simulated and real results; and a MRC-type controller, with simulated results. Regarding the practical implementation, a real continuous process didactic plant was used as a representation of a real industrial environment through the OLE for Process Control (OPC) communication protocol. It has been demonstrated the possibility of building autonomously and in an unsupervised manner a controller capable of developing and adapting itself in a real-time industrial automation application.

U2 - 10.1109/CYBConf.2013.6617464

DO - 10.1109/CYBConf.2013.6617464

M3 - Conference contribution/Paper

SN - 9781467364690

SP - 7

EP - 12

BT - 2013 IEEE International Conference on Cybernetics, CYBCONF-2013, Lausanne, Switzerland13-15 June, 2013

PB - IEEE

CY - Piscataway, N.J.

ER -