A framework for intelligent monitoring and control of chemical processes with multi-agent systems

B. Dorneanu; M. Heshmat; Y. Gao; H. Arellano-Garcia

A framework for intelligent monitoring and control of chemical processes with multi-agent systems

B. Dorneanu
, M. Heshmat
, Y. Gao
, H. Arellano-Garcia

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

Abstract

Industry 4.0 is transforming chemical processes into complex, smart cyber-physical systems that require intelligent methods to support the operators in taking decisions for better and safer operation. In this paper, a multi-agent cooperative-based model predictive system for monitoring and control of a chemical process is proposed. This system uses ontology to formally represent the system knowledge. By integrating the cooperative-based model predictive controller with the multi-agent system, the control can be improved, and the process can be converted into a self-adaptive system.

Original language	English
Title of host publication	Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
Editors	Paulo Jorge da Silva Bartolo, Fernando Moreira da Silva, Shaden Jaradat, Helena Bartolo
Publisher	CRC Press/Balkema
Pages	18-23
Number of pages	6
ISBN (Electronic)	9780367422721
Publication status	Published - Apr 2019
Externally published	Yes
Event	2nd International Conference on Sustainable Smart Manufacturing, S2M 2019 - Manchester, United Kingdom Duration: 9 Apr 2019 → 11 Apr 2019

Publication series

Name	Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019

Conference

Conference	2nd International Conference on Sustainable Smart Manufacturing, S2M 2019
Country/Territory	United Kingdom
City	Manchester
Period	9/04/19 → 11/04/19

Bibliographical note

Publisher Copyright:
© 2021 Taylor & Francis Group, London.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Cite this

Dorneanu, B., Heshmat, M., Gao, Y., & Arellano-Garcia, H. (2019). A framework for intelligent monitoring and control of chemical processes with multi-agent systems. In P. J. da Silva Bartolo, F. M. da Silva, S. Jaradat, & H. Bartolo (Eds.), Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019 (pp. 18-23). (Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019). CRC Press/Balkema.

Dorneanu, B. ; Heshmat, M. ; Gao, Y. et al. / A framework for intelligent monitoring and control of chemical processes with multi-agent systems. Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019. editor / Paulo Jorge da Silva Bartolo ; Fernando Moreira da Silva ; Shaden Jaradat ; Helena Bartolo. CRC Press/Balkema, 2019. pp. 18-23 (Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019).

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title = "A framework for intelligent monitoring and control of chemical processes with multi-agent systems",

abstract = "Industry 4.0 is transforming chemical processes into complex, smart cyber-physical systems that require intelligent methods to support the operators in taking decisions for better and safer operation. In this paper, a multi-agent cooperative-based model predictive system for monitoring and control of a chemical process is proposed. This system uses ontology to formally represent the system knowledge. By integrating the cooperative-based model predictive controller with the multi-agent system, the control can be improved, and the process can be converted into a self-adaptive system.",

author = "B. Dorneanu and M. Heshmat and Y. Gao and H. Arellano-Garcia",

note = "Publisher Copyright: {\textcopyright} 2021 Taylor \& Francis Group, London.; 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019 ; Conference date: 09-04-2019 Through 11-04-2019",

year = "2019",

month = apr,

language = "English",

series = "Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019",

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}

Dorneanu, B, Heshmat, M, Gao, Y & Arellano-Garcia, H 2019, A framework for intelligent monitoring and control of chemical processes with multi-agent systems. in PJ da Silva Bartolo, FM da Silva, S Jaradat & H Bartolo (eds), Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019. Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019, CRC Press/Balkema, pp. 18-23, 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019, Manchester, United Kingdom, 9/04/19.

A framework for intelligent monitoring and control of chemical processes with multi-agent systems. / Dorneanu, B.; Heshmat, M.; Gao, Y. et al.
Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019. ed. / Paulo Jorge da Silva Bartolo; Fernando Moreira da Silva; Shaden Jaradat; Helena Bartolo. CRC Press/Balkema, 2019. p. 18-23 (Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019).

Research output: Chapter in Book/Conference Proceeding/Report › Conference Paper published in a book › peer-review

TY - GEN

T1 - A framework for intelligent monitoring and control of chemical processes with multi-agent systems

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AU - Gao, Y.

AU - Arellano-Garcia, H.

PY - 2019/4

Y1 - 2019/4

N2 - Industry 4.0 is transforming chemical processes into complex, smart cyber-physical systems that require intelligent methods to support the operators in taking decisions for better and safer operation. In this paper, a multi-agent cooperative-based model predictive system for monitoring and control of a chemical process is proposed. This system uses ontology to formally represent the system knowledge. By integrating the cooperative-based model predictive controller with the multi-agent system, the control can be improved, and the process can be converted into a self-adaptive system.

AB - Industry 4.0 is transforming chemical processes into complex, smart cyber-physical systems that require intelligent methods to support the operators in taking decisions for better and safer operation. In this paper, a multi-agent cooperative-based model predictive system for monitoring and control of a chemical process is proposed. This system uses ontology to formally represent the system knowledge. By integrating the cooperative-based model predictive controller with the multi-agent system, the control can be improved, and the process can be converted into a self-adaptive system.

UR - https://www.scopus.com/pages/publications/85117586781

M3 - Conference Paper published in a book

AN - SCOPUS:85117586781

T3 - Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019

SP - 18

EP - 23

BT - Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019

A2 - da Silva Bartolo, Paulo Jorge

A2 - da Silva, Fernando Moreira

A2 - Jaradat, Shaden

A2 - Bartolo, Helena

PB - CRC Press/Balkema

T2 - 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019

Y2 - 9 April 2019 through 11 April 2019

ER -

Dorneanu B, Heshmat M, Gao Y, Arellano-Garcia H. A framework for intelligent monitoring and control of chemical processes with multi-agent systems. In da Silva Bartolo PJ, da Silva FM, Jaradat S, Bartolo H, editors, Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019. CRC Press/Balkema. 2019. p. 18-23. (Industry 4.0 - Shaping The Future of The Digital World - Proceedings of the 2nd International Conference on Sustainable Smart Manufacturing, S2M 2019).

A framework for intelligent monitoring and control of chemical processes with multi-agent systems

Abstract

Publication series

Conference

Bibliographical note

UN SDGs

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Cite this