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Fuzzy Inference Modeling Method Based on T-S Fuzzy System

  • Ming-zuo Jiang
  • Chun-ling Zhang
  • Xue-hai Yuan
  • Hong-xing Li
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 367)

Abstract

A kind of fuzzy inference modeling method based on T-S fuzzy system is proposed. New input-output models and state-space models are constructed respectively by applying this method to time-invariant second-order freedom movement systems modeling. The obtained differential equation models are used to simulate the second-order equations, and the results show that the models achieve a good approximation precision.

Keywords

Fuzzy control Fuzzy inference modeling method T-S fuzzy system Input-Output model State-space model 

Notes

Acknowledgments

Thanks to the support by National Science Foundation of China (No. 90818025 and No. 61074044).

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Ming-zuo Jiang
    • 1
  • Chun-ling Zhang
    • 1
  • Xue-hai Yuan
    • 1
    • 2
  • Hong-xing Li
    • 1
  1. 1.Faculty of Electronic Information and Electrical EngineeringDalian University of TechnologyDalianChina
  2. 2.Foundation DepartmentDalian University of Technology at PanjinPanjinChina

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