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Extended fuzzy logic controller for high speed train

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Abstract

In this paper, two dynamic models of high-speed train are presented, namely a single-mass (SM) model and an unit-displacement multi-particle (UDMP) model. Based on the former, a direct fuzzy logic controller is designed, and on the latter, a new fuzzy controller incorporating the implication logic is designed. Three sets of relevant numerical simulation are provided to demonstrate the effectiveness of the proposed control schemes through comparison.

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Acknowledgments

The authors would like to thank Prof. Guanrong Chen reading the manuscript and providing valuable comments. And, we would like to express our deepest gratitude to all anonymous reviewers and the editor-in-chief for their valuable comments. This work is supported by the National Natural Science Foundation of China (60870013) and supported by the “Fundamental Research Funds for the Central Universities”.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing, 100044, People’s Republic of China

    Hai-rong Dong & Shi-gen Gao

  2. State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, 100044, People’s Republic of China

    Bin Ning

  3. Beijing MTR Corporation Limited, Beijing, 100068, People’s Republic of China

    Li Li

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  1. Hai-rong Dong
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  2. Shi-gen Gao
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  3. Bin Ning
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  4. Li Li
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Correspondence to Hai-rong Dong.

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Dong, Hr., Gao, Sg., Ning, B. et al. Extended fuzzy logic controller for high speed train. Neural Comput & Applic 22, 321–328 (2013). https://doi.org/10.1007/s00521-011-0681-8

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  • DOI: https://doi.org/10.1007/s00521-011-0681-8

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