Position information of individual nodes is very useful in implementing functions such as routing, querying and many applications. Researchers have proposed several location techniques but only a few relative location algorithms for mobile wireless sensor networks (WSNs). Although mobility would appear to make localization more difficult, this paper introduces a distributed 3 dimension relative localization algorithm for the mobile WSNs. This approach is an effort in finding a solution to positioning problem for highly dynamic nodes deployed randomly in a complex environment and the 3 dimension coordinate provided can be satisfied with great applications. The distributed coordinate transformation algorithm takes lower convergence times in the establishment of the global coordinate system.
This paper mainly concentrates on obstacle avoidance of multi robot system in 2-D environment. An efficient and practical collision-avoidance mechanism is developed for multi agent system. The collision-avoidance mechanism is used in combination with a cooperation mechanism to accomplish an complicated task. Based on the problem of "the tower of babel", some obstacles are added in the environment, the agents must reach their destination without colliding with the obstacles and other agents. A typical kind of multi robot system is studied in this paper, and problem of collision-avoidance in multi robot system is discussed. Our purpose is to study a practical and efficient obstacle avoidance method under central control mode, which has been proved effective through simulation experiments results, and this obstacle avoidance method can solve the problem of "deadlock" to a satisfying extent.
In this paper,an advanced proportional guidance law is proposed since the classical proportional guidance law gets low precision when used to intercept high-powered targets.The proposed guidance law contains two algorithms: one is estimating the target's trajectory under the bandwidth limitation of the infrared lead,and the other is searching for an optimized proportional coefficient under the limitation of the overload.The simulation results demonstrate the advanced proportional guidance law,which has greater performance than the classical guidance law,can achieve high precision when intercepting the high-powered targets.
Public governance theory forms on the study of the relationship with governance,society and people.As a new theory of public government,it emphasized the harmony and cooperation among governance,society and people.We believe that the new ideal can bring National Fitness Program much enlightenment after the introduction of public governance theory into the field of National Fitness Program.
The unscented transform and the multiple-model method are employed to linearize nonlinear systems, and a new linearization method is designed called as the multiple-model linearization method based on the unscented transform (UT-MMLM). Because the UT-MMLM describes a nonlinear system by a linear systems' set, it can further approach the original system. Based on this linear systems' set, the multiple-model extended Kalman filter based on the unscented transform(UT- MMEKF) is designed. At last, the findings in this paper are used to locate nodes' positions in wireless sensor networks(WSN).
Spacecraft orbit principles are viewed as the content of a fundamental course in military high technology training. There are many difficulties in teaching, such as recondite theory, limited teaching time and the cadets' different backgrounds. As a result, the training effect is not ideal. Some effective training methods are proposed. With multi-media and interactive experiments, the teaching effect of the course is remarkably enhanced.
This paper mainly focuses on the application of CPG based motion control methods for humanoid robots. Firstly, motion control problems of humanoid robots are discussed, and the difference between traditional methods and CPG based methods is pointed out. Then, the biological essence and basic idea of the CPG based control methods are analyzed, and several critical problems of the application of the methods are studied in detail. Finally, the status quo of the methods is synthesized
The accurate estimations of distances among nodes in wireless sensor networks(WSN) are premises for the accurate estimations of nodes' positions and the accurate reconstruction of the networks' topology. In a complex environment, nodes stochastically move, and the variance of state noise is unknown and variable, and obstacles possibly exist among nodes. Now, the accurate estimations of distances among nodes in the WSN in a complex environment are still unresolved. In this paper, an adaptive Kalman filter(AKF) is used to solve the accurate estimations of distances among nodes in the WSN. Through simulations, the results indicate that the AKF is capable of accurate estimations of distances among nodes. Therefore, the AKF is a very effective method to solve the accurate estimations of distances among nodes in the WSN in a complex environment.
'/%3e%3cuse xlink:href='%23a' transform='rotate(23.036 .093 25.536)'/%3e%3cuse xlink:href='%23a' transform='rotate(45.87 1.273 16.18)'/%3e%3cuse xlink:href='%23a' transform='rotate(69.945 .996 12.078)'/%3e%3cuse xlink:href='%23a' transform='rotate(20.66 -19.689 31.932)'/%3e%3c/svg%3e)