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Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems pp 235–244Cite as

Simulation Study on Self-learning Fuzzy Control of Carbon Monoxide Concentration

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Part of the book series: Theory and Decision Library ((TDLD,volume 16))

Abstract

CO (carbon monoxide) is one of important factors in air pollution problems. It is known that CO concentration system has (1)high non-linearity, and (2)many predictor variables.

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References

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Author information

Authors and Affiliations

  1. Department of Mechanical Systems Engineering, Kanazawa University, 2-40-20 Kodatsuno, Kanazawa 920, Japan

    Kazuo Tanaka

Authors
  1. Kazuo Tanaka
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Editor information

Editors and Affiliations

  1. Korea Advanced Institute of Science and Technology (KAIST), Taejon, Korea

    Z. Bien

  2. Yonsei University, Seoul, Korea

    K. C. Min

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© 1995 Kluwer Academic Publishers

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Tanaka, K. (1995). Simulation Study on Self-learning Fuzzy Control of Carbon Monoxide Concentration. In: Bien, Z., Min, K.C. (eds) Fuzzy Logic and its Applications to Engineering, Information Sciences, and Intelligent Systems. Theory and Decision Library, vol 16. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0125-4_23

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  • DOI: https://doi.org/10.1007/978-94-009-0125-4_23

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6543-6

  • Online ISBN: 978-94-009-0125-4

  • eBook Packages: Springer Book Archive

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