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Design of Hierarchical Cone Fuzzy System for Nonlinear System Modeling

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Fuzzy Information and Engineering-2019

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1094))

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Abstract

The use of hierarchical fuzzy systems (HFS) is an effective way to deal with the curse of dimensionality which is the main drawback for the application of fuzzy models in the modeling and control of large-scale systems. This paper proposes the design of HFS which implements T-S type cone fuzzy system (CFS). The performance of the hierarchical fuzzy system is evaluated through time series prediction and function approximation, which demonstrate that the proposed HFS working together with the optimization of parameters by genetic algorithm (GA) and k-means clustering in fuzzy partition provides structurally simple and accurate fuzzy models.

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Acknowledgements

Thanks to the support by National Natural Science Foundation of China (Nos. 51609110, 51779110 and 51809122).

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Authors and Affiliations

  1. School of Electronic Information, Jiangsu University of Science and Technology, Zhenjiang, 212003, China

    Ming-zuo Jiang

  2. The Faculty of Electronic Information and Electrical Engineering, Dalian University of Technology, Dalian, 116024, China

    Xue-hai Yuan

  3. School of Naval Architecture and Ocean Engineering, Jiangsu University of Science and Technology, Zhenjiang, 212003, Jiangsu, China

    Jia-xia Wang

Authors
  1. Ming-zuo Jiang
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  2. Xue-hai Yuan
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  3. Jia-xia Wang
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Corresponding author

Correspondence to Ming-zuo Jiang .

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Editors and Affiliations

  1. Foshan University, Foshan, Guangdong, China

    Bing-yuan Cao

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Jiang, Mz., Yuan, Xh., Wang, Jx. (2020). Design of Hierarchical Cone Fuzzy System for Nonlinear System Modeling. In: Cao, By. (eds) Fuzzy Information and Engineering-2019. Advances in Intelligent Systems and Computing, vol 1094. Springer, Singapore. https://doi.org/10.1007/978-981-15-2459-2_9

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