جستجوی مقالات مرتبط با کلیدواژه "directed graph" در نشریات گروه "برق"

Matrix completion problem has gathered a lot of attention in recent years. In the matrix completion problem, the goal is to recover a low-rank matrix from a subset of its entries. The graph matrix completion was introduced based on the fact that the relation between rows (or columns) of a matrix can be modeled as a graph structure. The graph matrix completion problem is formulated by adding the graph total variation term to the objective function of matrix completion problem. However; in practice, the observed data is noisy and contains outliers. Outlier data is defined as part of the observed that are different than other parts and are not consistent with the data structure. In this paper, we apply graph total variation based on the directed Laplacian and propose a new method for graph matrix completion. We introduce a new method called GMCO-DL for the case where both noise and outliers exist in observations. Simulation results show outstanding results for the proposed method in terms of estimation error.

In this paper, the compensation controller approach is investigated for uncertain nonlinear multi agent systems. The dynamics of each of the agents includes uncertainties. Meanwhile, the exchange of the information between the agents is done under directed and fixed graphs. In this design, nonlinear control method is used to design nonlinear backstepping controller. The systems uncertainties are approximated by using the adaptive control method. To overcome the unpredictable effects of faults occurrence in the considered system actuators, Defective adaptive compensation method is used without any knowing about the fault time, fault type and fault structure. Finally, with the introduction of the new Lyapunov functions and by using the graph theory, the stability of the closed loop system is proved. By presenting a simulated example, the efficiency of the control view presented for nonlinear multi agent systems is shown in the presence of unknown faults in actuators and unknown external disturbances.