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Computational Intelligence Techniques for Chemical Process Control

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Innovations in Intelligent Machines-5

Part of the book series: Studies in Computational Intelligence ((SCI,volume 561))

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Abstract

The chapter focuses on two computational intelligence techniques, genetic algorithms and neuro-fuzzy systems, for chemical process control. It has three sub-chapters: 1. Objectives and Conventional Automatic Control of Chemical Processes 2. Computational Intelligence Techniques for Process Control 3. Case study. A case study is described in detail that describes a neuro-fuzzy control system for a wastewater pH neutralization process.

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Authors and Affiliations

  1. Petroleum-Gas University, Ploieşti, Romania

    N. Paraschiv, M. Oprea, M. Cǎrbureanu & M. Olteanu

Authors
  1. N. Paraschiv
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  2. M. Oprea
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  3. M. Cǎrbureanu
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  4. M. Olteanu
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Corresponding author

Correspondence to M. Olteanu .

Editor information

Editors and Affiliations

  1. Department of Automation and Applied Informatics, "Aurel Vlaicu" University of Arad, Arad, Romania

    Valentina Emilia Balas

  2. Institute of Information and Communication Technologies, Bulgarian Academy of Sciences, Sofia, Bulgaria

    Petia Koprinkova-Hristova

  3. Faculty of Education, Science, Technology and Mathematics, University of Canberra, Canberra, Australia

    Lakhmi C. Jain

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Paraschiv, N., Oprea, M., Cǎrbureanu, M., Olteanu, M. (2014). Computational Intelligence Techniques for Chemical Process Control. In: Balas, V., Koprinkova-Hristova, P., Jain, L. (eds) Innovations in Intelligent Machines-5. Studies in Computational Intelligence, vol 561. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-43370-6_7

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  • DOI: https://doi.org/10.1007/978-3-662-43370-6_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-43369-0

  • Online ISBN: 978-3-662-43370-6

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