@article {62767,
	title = {Position and speed estimation of PMSM based on extended Kalman filter tuned by biogeography-based-optimization},
	journal = {Journal Europ{\'e}en des Syst{\`e}mes Automatis{\'e}sJournal Europ{\'e}en des Syst{\`e}mes Automatis{\'e}s},
	volume = {54},
	year = {2021},
	month = {2021},
	pages = {559-568},
	author = {Allaoui, Samia and Laamari, Yahia and Chafaa, Kheireddine and Saad, Salah}
}
@article {61698,
	title = {Highly nonlinear systems estimation using extended and unscented kalman filters},
	year = {2021},
	month = {1978},
	abstract = {
	The main idea of this study is to evaluate the estimation performance of extended and unscented Kalman filters (EKF and UKF). So, these latter are introduced to estimate the dynamic states of a similar model operating with identical covariance matrices in the same situation. The mean square error (MSE) criterion is used to quantify the estimation error between the actual and the estimated values. The simulation results obtained with Matlab/ Simulink software confirm the superiority and efficiency of UKF over EKF, especially when the system is highly non-linear under process and measurement noises, such is the case of the inverted double pendulum mounted on a cart (DIPC).

},
	url = {http://pe.org.pl/articles/2021/5/20.pdf},
	author = {Laamari, Yahia and Allaoui, Samia and Chafaa, Kheireddine and Bendaikha, Abdelmalik}
}
