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A Study of Dynamic Decoupling Fuzzy Control Systems by Means of Generalized Inverse Matrix

  • Conference paper
Emerging Research in Artificial Intelligence and Computational Intelligence (AICI 2011)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 237))

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Abstract

In the dynamic decoupling fuzzy control system, if singular or rectangle matrices are encountered in the state equation, the only way is to consider the decoupling control over partial states of the system. This paper presents a new conclusion with fewer parameters by virtue of generalized inverse matrix and realized decoupling fuzzy control over the system with multiple variables, which demonstrates good control effect.

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References

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Author information

Authors and Affiliations

  1. Department of Mathematics, Taiyuan University of Technology, 030024, Taiyuan, China

    Qing-Min Fan

Authors
  1. Qing-Min Fan
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Editor information

Editors and Affiliations

  1. School of Business Information technology, RMIT University, GPO Box 2476V, 3000, Melbourne, Victoria, Australia

    Hepu Deng

  2. Department of Computer Science and Technology, Tongji University, Shanghai, China

    Duoqian Miao

  3. Caritas Institute of Higher Education, 18 Chui Ling Road, Tseung Kwan, Hong Kong, SAR, China

    Fu Lee Wang

  4. School of Computer and Information Engineering, Shanghai University of Electric Power, 200090, Shanghai, China

    Jingsheng Lei

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© 2011 Springer-Verlag Berlin Heidelberg

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Fan, QM. (2011). A Study of Dynamic Decoupling Fuzzy Control Systems by Means of Generalized Inverse Matrix. In: Deng, H., Miao, D., Wang, F.L., Lei, J. (eds) Emerging Research in Artificial Intelligence and Computational Intelligence. AICI 2011. Communications in Computer and Information Science, vol 237. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24282-3_5

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  • DOI: https://doi.org/10.1007/978-3-642-24282-3_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-24281-6

  • Online ISBN: 978-3-642-24282-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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