Skip to main content
SpringerLink
Log in

Ontological Aspects of Developing Robust Control Systems for Technological Objects

  • Conference paper
  • First Online:
Intelligent Computing and Optimization (ICO 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1324))

Included in the following conference series:

Abstract

The ontological aspects of designing the efficient control systems of technological objects, which are operating in uncertain environment have been demonstrated in the research work. Design and monitoring of the control system have been outlined as the two basic tasks on the basis of the covered subject and problem domain of the research as well as the life cycle of the system. The subject domain, which consists of the ontology of objects and processes, has been described with the use of the system and ontological approach. The peculiarity of the developed ontological system lies in the knowledge on the uncertainty of technological objects and the conditions of their operation. The ontological system, which underlies the further development of an intelligent decision support system, has been formed alongside with the ontology of objectives. The advantage of the ontology based design lies in the scientific novelty of the knowledge presentation model and the practical relevance for designers, developers, and researchers of the control systems for technological objects operating in uncertain environment.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. McMillan, G.K., Considine, D.M.: Process/Industrial Instruments and Controls Handbook, 5th edn. McGraw-Hill Professional, New York (1999)

    Google Scholar 

  2. The Control Handbook: Control System Applications, 2nd edn. CRC Press, W.S. Levine (2011)

    Google Scholar 

  3. Lutskaya, N., Zaiets, N., Vlasenko, L., Shtepa, V.: Effective robust optimal control system for a lamellar pasteurization-cooling unit under the conditions of intense external perturbations. Ukrainian Food J. 7(3), 511–521 (2018)

    Article  Google Scholar 

  4. Korobiichuk, I., Lutskaya, N., Ladanyuk, A., et al.: Synthesis of optimal robust regulator for food processing facilities, automation 2017: innovations in automation. Robot. Measurement Techniques, Advances in Intelligent Systems and Computing, Springer International Publishing 550, 58–66 (2017)

    Article  Google Scholar 

  5. Takahara Y., Mesarovic M.: Organization Structure: Cybernetic Systems Foundation, Springer Science & Business Media (2012).

    Google Scholar 

  6. Fernandez-Lopez, M., Gomez-Perez, A.: Overview and analysis of methodologies for building ontologies. Knowl. Eng. Rev. 17(02), 129–156 (2003)

    Article  Google Scholar 

  7. Baader, F., Calvanese, D., McGuinness, D.L., et al.: The Description Logic Handbook: Theory. Implementation, Applications, Cambridge (2003)

    MATH  Google Scholar 

  8. Palagin, A., Petrenko, N.: System-ontological analysis of the subject area. Control Syst. Mach. 4, 3–14 (2009)

    Google Scholar 

  9. Smith, B.: Blackwell guide to the philosophy of computing and information: Chapter ontology. Blackwell 39, 61–64 (2003)

    Google Scholar 

  10. OWL 2 Web Ontology Language Document Overview, 2nd edn., W3C. 11 December 2012.

    Google Scholar 

  11. OWL Web Ontology Language Guide. W3C Recommendation, 10 February 2004. https://www.w3.org/TR/owl-guide/

  12. Protege Homepage. https://protege.stanford.edu/

  13. Zaiets N., Vlasenko L., Lutska N., Usenko S.: System Modeling for Construction of the Diagnostic Subsystem of the Integrated Automated Control System for the Technological Complex of Food Industries/ICMRE 2019, Rome, Italy, pp. 93–98 (2019).

    Google Scholar 

  14. Lutska, N.M., Ladanyuk, A.P., Savchenko, T.V.: Identification of the mathematical models of the technological objects for robust control systems. Radio Electron. Comput. Sci. Control 3, 163–172 (2019)

    Article  Google Scholar 

  15. Voropai, N.I.: Multi-criteria decision making problems in hierarchical technology of electric power system expansion planning. In: Intelligent Computing & Optimization. ICO 2018. Advances in Intelligent Systems and Computing, vol. 866, pp. 362–368. Springer (2019)

    Google Scholar 

  16. Alhendawi, K.M., Al-Janabi, A.A., Badwan, J.: Predicting the quality of MIS characteristics and end-users’ perceptions using artificial intelligence tools: expert systems and neural network. In: Intelligent Computing and Optimization. ICO 2019. Advances in Intelligent Systems and Computing, vol. 1072. pp. 18–30. Springer (2020)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Automation and Computer Technologies of Management Systems, Automation and Computer Systems, National University of Food Technologies, Kiev, Ukraine

    Nataliia Lutskaya, Lidiia Vlasenko & Nataliia Zaiets

  2. Department of Higher Mathematics and Information, Technology Polessky State University, Pinsk, Belarus

    Volodimir Shtepa

Authors
  1. Nataliia Lutskaya
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lidiia Vlasenko
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Nataliia Zaiets
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Volodimir Shtepa
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Nataliia Lutskaya .

Editor information

Editors and Affiliations

  1. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, Tronoh, Perak, Malaysia

    Pandian Vasant

  2. Faculty of Electrical Engineering and Computer Science, VÅ B TU Ostrava, Ostrava, Czech Republic

    Ivan Zelinka

  3. Faculty of Engineering Management, Poznan University of Technology, Poznan, Poland

    Gerhard-Wilhelm Weber

Rights and permissions

Reprints and permissions

Copyright information

© 2021 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Lutskaya, N., Vlasenko, L., Zaiets, N., Shtepa, V. (2021). Ontological Aspects of Developing Robust Control Systems for Technological Objects. In: Vasant, P., Zelinka, I., Weber, GW. (eds) Intelligent Computing and Optimization. ICO 2020. Advances in Intelligent Systems and Computing, vol 1324. Springer, Cham. https://doi.org/10.1007/978-3-030-68154-8_107

Download citation

Publish with us

Policies and ethics

Search

Navigation