In this article, an efficient location tracking scheme based on an adaptive weighted technique with low computational load and good location accuracy is proposed to estimate an MT's location.
Examples of two-waypoint and multi-waypoint missions, using the proposed trajectory planning and tracking scheme based on a developed control system of a MAV, are presented, with the simulation results to demonstrate the effectiveness of the proposed approach.
In Figure 9b, the result shows that the errors of proposed tracking scheme based on one-step fixed lag smoothing are slightly smoother in the moving trajectory of an MT. In addition, the corner effect (the peaks) of the proposed tracking scheme is slightly larger than the KF-based tracking scheme.
As compared with a traditional tracking scheme based on Kalman filtering (KF) algorithms derived from Bayesian dynamic model, the analytic result and the numerical simulations show that the proposed forward and one-step backward tracking approach not only can achieve an accurate location very close to the traditional KF tracking scheme, but also has a lower computational complexity.
An adaptive robust tracking control schemes based on fuzzy basis function approach is developed such that all the states and signals are bounded.
Schoolchildren were subjected to tracking, grouping, and sorting schemes, based on the notion of most people's innate incapacity, and so millions of them were denied what Ravitch would consider the fundamental equipment necessary for educated citizenship.
To fulfill the station-keep control of the rotating TSS along halo orbits, a nonlinear output tracking control scheme based on the h-D technique is proposed.
The controller design is obtained by applying input output feedback linearization to the nonlinear subsystem and adopting a tracking control scheme, based on feedback feedforward technique, for the linear subsystem.
The tested controllers are centralized and decentralized model predictive controllers schemes for tracking and several distributed MPC schemes based on (i) cooperative game theory, (ii) sensivity-based coordination mechanisms, (iii) bargaining game theory, and (iv) serial decomposition of the centralized problem.
