طراحی و پیاده سازی الگوریتم تخمین متمرکز مدل پیش‌بین با افق فازی برای هم‌ترازی در حرکت سامانه ناوبری اینرسی ترکیبی ارزان قیمت INS/GPS

1. Rafatnia, S., Nourmohammadi, H., Keighobadi, J. and Badamchizadeh, M.A. “In-move aligned SINS/GNSS system using recurrent wavelet neural network (RWNN)-based integration scheme”. Mechatronics. Vol. 54, pp.155-165, 2018.##
2. Nourmohammadi, H. and Keighobadi, J. “Integration Scheme for SINS/GPS System Based on Vertical Channel Decomposition and
In-Motion Alignment”. AUT Journal of Modeling and Simulation. Vol. 50, No. 1, pp.13-22, 2018.##
3. St-Pierre, M. and Gingras, D. “Comparison between the unscented Kalman filter and the extended Kalman filter for the position estimation module of an integrated navigation information system”; In: IEEE Intelligent Vehicles Symposium, Parma, Italy, 2004 (pp. 831-835).##
4. Shin, E.H. and El-Sheimy, N., 2004, April. “An unscented Kalman filter for in-motion alignment of low-cost IMUs”. In: Position Location and Navigation Symposium. PLANS 2004 (pp. 273-279). IEEE.##
5. Ali, J. and Ushaq, M. “A consistent and robust Kalman filter design for in-motion alignment of inertial navigation system”. Measurement. Vol. 42, No. 4, pp.577-582, 2009.##
6. Nourmohammadi, H. and Keighobadi, J. “Design and experimental evaluation of indirect centralized and direct decentralized integration scheme for low-cost INS/GNSS system”. GPS Solut. Vol. 22, pp.1-18, 2018.##
7. Nourmohammadi, H. and Keighobadi, J. “Decentralized INS/GNSS system with MEMS-grade inertial sensors using QR-factorized CKF”. IEEE Sens. J. Vol. 17, No. 11, pp.3278-3287, 2017.##
8. Huang, Y., Zhang, Y. and Wang, X. “Kalman-filtering-based in-motion coarse alignment for odometer-aided SINS”. IEEE Trans. Instrum. Meas. Vol. 66, No. 12, pp.3364-3377, 2017.##
9. Sun, Y., Wang, L., Cai, Q., Yang, G., & Wen, Z. “In-Motion Attitude and Position Alignment for Odometer-Aided SINS Based on Backtracking Scheme”. IEEE Access. Vol. 7, pp. 20211-20224, 2019.##
10. Zhang, L., Wu, W., Wang, M., & Guo, Y. “DVL-Aided SINS In-Motion Alignment Filter Based on a Novel Nonlinear Attitude Error Model”. IEEE Access. Vol. 7, pp. 62457 – 62464, 2019.##
11. Liu, M., Li, G., Gao, Y., Li, S., & Guan, L. “Velocity-aided In-motion Alignment for SINS Based on Pseudo-Earth Frame”. J. Navigation. Vol. 71, No. 1, pp. 221-240, 2018.##
12. Rafatnia, S., Nourmohammadi, H., & Keighobadi, J. “Fuzzy-adaptive constrained data fusion algorithm for indirect centralized integrated SINS/GNSS navigation system”. GPS Solut. Vol. 23, No. 3, pp. 23-62, 2019.##
13. Mohammad-Hoseini, S. and Seifi. M. “Error rate reduction of a low-cost integrated navigation system using neural networks”. Journal of Management System. Vol. 15, No. 3, pp.17-32, 2020. (In Persian)##
14. J. Keighobadi, S. Rafatnia, H. Nourmohammadi, M. Arbabmir, “Design and implementation of altitude estimation algorithm in the integrated barometric-inertial altimeter using model predictive control”. Journal of Mechanical Engineering-University of Tabriz, Vol. 47, No. 2, pp. 233-238, 2017. (In Persian).##
15. Keighobadi, J., Faraji, J. and Rafatnia, S. “Chaos control of atomic force microscope system using nonlinear model predictive control”. J Mech. Vol. 33, No. 3, pp.405-415, 2017.##
16. Allan, D.A. and Rawlings, J.B. “Moving Horizon Estimation. In Handbook of Model Predictive Control” (pp. 99-124). Birkhäuser, Cham, 2019.##
17. Jazwinski, A. H. “Stochastic processes and filtering theory”. Courier Corporation, United States, 2007.##
18. Nourmohammadi, H. and Keighobadi, J. “Fuzzy adaptive integration scheme for low-cost SINS/GPS navigation system”. Mech. Syst. Sig. Process. Vol. 99, pp. 434-449, 2018.##
19. Khankalantary, S., Rafatnia, S., Mohammadkhani, H. Hajizadeh, M. “Design and Implementation a Constrained Adaptive Estimation Algorithm for Low-cost Integrated Navigation System in Urban Area”. AUT Journal of Mechanical Engineering, 2019. DOI: 10.22060/MEJ.2019.14892.5971, (In Persian).##