tracking problem

tracking problem

[′trak·iŋ ‚präb·ləm]
(control systems)
The problem of determining a control law which when applied to a dynamical system causes its output to track a given function; the performance index is in many cases taken to be of the integral square error variety.
References in periodicals archive ?
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.
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 [20], 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 [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.