Akram, M.A.; Liu, P.; Tahir, M.O.; Ali, W.; Wang, Y.
A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems. Sensors 2019, 19, 1687.
https://doi.org/10.3390/s19071687
AMA Style
Akram MA, Liu P, Tahir MO, Ali W, Wang Y.
A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems. Sensors. 2019; 19(7):1687.
https://doi.org/10.3390/s19071687
Chicago/Turabian Style
Akram, Muhammad Adeel, Peilin Liu, Muhammad Owais Tahir, Waqas Ali, and Yuze Wang.
2019. "A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems" Sensors 19, no. 7: 1687.
https://doi.org/10.3390/s19071687
APA Style
Akram, M. A., Liu, P., Tahir, M. O., Ali, W., & Wang, Y.
(2019). A State Optimization Model Based on Kalman Filtering and Robust Estimation Theory for Fusion of Multi-Source Information in Highly Non-linear Systems. Sensors, 19(7), 1687.
https://doi.org/10.3390/s19071687