Kalman filter

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Kalman filter

[′kal·mən ‚fil·tər]
(control systems)
A linear system in which the mean squared error between the desired output and the actual output is minimized when the input is a random signal generated by white noise.
References in periodicals archive ?
13] Nick, Theresa, "Comparison of extended and unscented Kalman filter for localization of passive UHF RFID labels," in Proc.
24] Giancarlo Marafioti, Sorin Olaru, and Morten Hovd, "State Estimation in Nonlinear Model Pre dictive Control, Unscented Kalman Filter Advantages," Nonlinear Model Predictive Control, Lecture Notes in Control and Information Sciences vol.
25] Niko Sunderhauf, Sven Lange, and Peter Protzel, "Using the Unscented Kalman Filter in MonoSLAM with Inverse Depth Parametrization for Autonomous Airship Control," In Proceedings of IEEE International Workshop on SSRR 2007, pp.
The Unscented Kalman Filter," in Kalman Filtering and Neural Networks, edited by S.
Zheng, "Vehicle state information estimation with the unscented Kalman filter," Advances in Mechanical Engineering, vol.
Ultrasonic Time-of-Flight Estimation through Unscented Kalman Filter, IEEE Transactions on Instrumentation and Measurement, pp 211-217.
Li, "Design of unscented Kalman filter with correlative noises," Control Theory and Applications, vol.
Finally, based on the bearing-only observations, the unscented Kalman filter (UKF) is employed for the state estimation of the leader and the follower robots at all levels, which enables the real-time and stable movement control of the follower robots via the input-output feedback control.
Van Der Merwe, "The unscented Kalman filter for nonlinear estimation," in Proceedings of the IEEE Adaptive Systems for Signal Processing, Communications, and Control Symposium (AS-SPCC '00), pp.
In [16], an unscented Kalman filter for the pseudo-measurement update stage was proposed.
It is well known that unscented Kalman filter (UKF) is broadly used to handle generalized nonlinear process and measurement models.