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Volume 7 Issue 1
Jan.  2020

IEEE/CAA Journal of Automatica Sinica

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Xuanming Zhao, Hong Mo, Kefu Yan and Lingxi Li, "Type-2 Fuzzy Control for Driving State and Behavioral Decisions of Unmanned Vehicle," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 178-186, Jan. 2020. doi: 10.1109/JAS.2019.1911810
Citation: Xuanming Zhao, Hong Mo, Kefu Yan and Lingxi Li, "Type-2 Fuzzy Control for Driving State and Behavioral Decisions of Unmanned Vehicle," IEEE/CAA J. Autom. Sinica, vol. 7, no. 1, pp. 178-186, Jan. 2020. doi: 10.1109/JAS.2019.1911810

Type-2 Fuzzy Control for Driving State and Behavioral Decisions of Unmanned Vehicle

doi: 10.1109/JAS.2019.1911810
Funds:  This work was supported by the National Natural Science Foundation of China (61473048, 61074093)
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  • In this paper, interval type-2 fuzzy sets, fuzzy comprehensive evaluation and the fuzzy control rules are synthesized to realize the control of unmanned vehicle in driving state and behavioral decisions. Compared to the type-1 fuzzy set, type-2 fuzzy sets have more advantages in handling the model based on uncertainties, linguistic information because the membership functions are fuzzy sets. Different membership functions are established for each factor when the unmanned vehicle is driving at different speed intervals. In addition, a new evaluation method is developed to analyze unmanned vehicle’s driving state. Finally, a set of dynamic fuzzy rules are sorted out, which can be applied to the unmanned vehicle’s behavioral decision-making and provide a new idea to related research.

     

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