In [22], 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.
In [20], the target
tracking problem is formulated as zero-sum game and a minimax algorithm is developed to estimate target position in sensor networks.
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 [7], particle filter [8][9] 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.