A common method for Controlling a group of parallel converters in decentralized Control strategy structure in an island microgrid, the use is the droop-down characteristics of frequency ω-P and voltage E-Q. However, the problem with using this method is that the reactive power is not properly distributed (in proportion to the capacity of the micronutrients) between the micronutrients, which may lead to overload in the converters. Microgrids may also suffer from dynamic stability problems such as power fluctuations, which can be increased by switching between active and reactive power Control. To avoid this problem, the X / R ratio of transmission lines is an important parameter that should be carefully considered in the design of micronutrient Controllers. By linearizing and simplifying conditions, the Control system conversion function model becomes a single input-single output system, which is efficient enough to show the relationship between Control parameters such as slope of droop characteristics and derivative sentences, virtual impedance, and voltage Controllers. Using this model, stability conditions for different parameters are analyzed. Also, to improve power distribution stability, common droop strategies are modified by adjusting the slope as well as adding nonlinear sentence sections. This approach reduces the coupling between active and reactive power Control and reduces the dependence of power distribution on grid parameters such as the X / R ratio. To evaluate the reliability of the proposed model, the simulation results in a sample island microgrid in MATLAB software are presented.

Networks-on-Chip (NoC) is an effective solution to inside on-chip communication problems. In recent years, the advancement of silicon industry and also the production of Carbone Nanotube antennas (CNTs), it is possible to use wireless antennas in the network on chip. This new communication structure is called a Wireless Network on Chip (WiNoC). Using the wireless antenna in multi-core chips led to the reduction in the latency and power consumption. In spite of higher bandwidth of the WiNoCs compared to wire NoCs; their performance can decrease significantly in absence of an effective flow Control mechanism. In this paper, the flow Control problem is investigated by using a mathematical model in the WiNoC. The aim of this study is showing a correct analysis of cores behaviors with the subject to capacity constraints of links and flow rates. The simulation results of traffic pattern in the WiNoC show that the proposed flow rate Control algorithm has been able to Control and adjust the flow injection rate of each transmitter with acceptable convergence

A characteristic of Data Envelopment Analysis (DEA) is to allow individual decision making units (DMUs) to select the factor weights which are the most advantageous for them in calculating their efficiency scores. This flexibility in selecting the weights, on the other hand, deters the comparison among DMUs on a common base. For dealing with this difficulty and assessing all the DMUs on the same scale, this paper proposes using a multiple objective linear programming (MOLP) approach based on scalarizing function for generating common set of weights under the DEA framework. This is an advantageous of the proposed approach against general approaches in the literature which are based on multiple objective nonlinear programming.

In this paper, an adaptive Controller is presented to Control a quadrotor, whose parameters are extracted from the genetic algorithm optimization method. The advantage of this method is that based on the system states, the Control coefficients are calculated online. For this purpose, a function between system states-space and Control coefficients is obtained. From the database collected from the genetic algorithm optimization method, the parameters of the Control coefficient function are obtained using the least squares method. The stability of the proposed Controller is proved by the Lyapunov method. Finally, the performance of the proposed Controller is compared with the PID Controller, which is widely used in the literature. The results show that the proposed approach is promising.