In , an adaptive iterative learning updating law was applied to solve the tracking problem
of high precision motion systems.
Particle filters have been used widely in the tracking problem
. Particle filter algorithm has the advantage of simplicity and flexibility.
Nevertheless, when it comes to the tracking problem
, there still exist great challenges for the available tracking error systems to stabilize using smooth feedback control laws among the control community [6-9].
In , the target tracking problem
is formulated as zero-sum game and a minimax algorithm is developed to estimate target position in sensor networks.
Additionally, the predicted future states are used to solve the trajectory tracking problem
under similar assumptions to the ones for the prediction problem.
First, tracking methods based on state estimation consider the tracking problem
as a state estimation problem and reclusively estimate the states of the tracked target, such as Kalman filter , particle filter  and so on.
The PMHT is an algorithm which solves the multi-target tracking problem
through application of the Expectation Maximisation algorithm.
An evolutionary heuristic for the index tracking problem
. European Journal of Operational Research, 148(3): 621-643.
"The work allows the cells to physically carry a barcode as they move around, making the tracking problem
much more feasible.
And if you want to hear a few more tales from Townsend's version of "Wounded Knee,'' senior captain Marissa Amichetti has a patella tracking problem
in her knee.
The tracking problem
for underactuated vehicles is especially challenging because most of these systems are not fully feedback linearizable and exhibit nonholonomic constraints.
What's more, it could avoid complicated calculations in dealing with the tracking problem
for nonlinear MIMO systems, and it is easy to achieve.