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A novel T-S fuzzy particle filtering algorithm based on fuzzy C-regression clustering

  • Published:2020-02 Issue: Volume:117 Page:81-95
  • ISSN:0888-613X
  • Container-title:International Journal of Approximate Reasoning
  • language:en
  • Short-container-title:International Journal of Approximate Reasoning

Author:

Wang Xiao-li,Li Liang-qun,Xie Wei-xin

Funder

National Natural Science Foundation of China

Science & Technology Program of Shenzhen

Postgraduate Innovation Development Fund Project of Shenzhen University

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference37 articles.

1. An IMM/EKF approach for enhanced multitarget state estimation for application to integrated risk management system;Kim;IEEE Trans. Veh. Technol.,2015

2. Iterated multiplicative extended kalman filter for attitude estimation using vector observations;Chang;Sensors,2018

3. Multi-sensor optimal data fusion for INS/GNSS/CNS integration based on unscented Kalman filter;Gao;Int. J. Control. Autom. Syst.,2018

4. Dynamic state estimation for multi-machine power system by unscented Kalman filter with enhanced numerical stability;Qi;IEEE Trans. Smart Grid,2018

5. Unscented filtering and nonlinear estimation;Julier;Proc. IEEE,2004

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