xianxing

demo MPC function !!! using Matlab MPC function to control a system based on DMC method.

考虑章动、极移、岁差下历元时刻月球在瞬时平天球坐标系，J2000协议地固系，WGS-84坐标系下的位置速度矢量及转换的matlab源程序(Consider nutation, polar motion, precession next epoch in the instantaneous level of the moon celestial coordinate system, J2000 protocol to the solid line, the position and the velocity vector conversion WGS-84 coordinate system matlab source)

说明：  用MATLAB实现计量经济学的教程，很完整很全面。(Using MATLAB to achieve econometrics tutorial, very complete and comprehensive.)

An algorithm to get the direction of the vessels

说明：  mfile in matlab about jame machin elec

随着应用的越来越复杂，对数据同步和存储的要求越来越多，有时候我们面对大量复杂的数据加载和数据同步代价，尤其是如果单服务器无法承载大量应用数据的时候，我们如何可以实现动态扩展服务器已达到负载均衡的目标(As applications are becoming more complex, the data synchronization and storage requirements are more and more, sometimes we are facing a large amount of data loading and data synchronization costs, especially if a single server cannot load a lot of the time of application data, how can we realize the dynamic extension of the server has reached the aim of load balancing)

is good from my self and i me student

贝叶斯matlab程序设计算法，给出了各种实验数据和实验方法。(Bayesian matlab programming algorithm, given a variety of experimental data and experimental methods.)

无线传感器网络所具有的众多类型的传感器，可探测包括地震、电磁、温度、湿度、噪声、光强度、压力、土壤成分、移动物体的大小、速度和方向等周边环境中多种多样的现象。基于MEMS的微传感技术和无线联网技术为无线传感器网络赋予了广阔的应用前景。这些潜在的应用领域可以归纳为:军事、航空、反恐、防爆、救灾、环境、医疗、保健、家居、工业、商业等领域。(Wireless sensor networks have many types of sensors can detect, including seismic, electromagnetic, temperature, humidity, noise, light intensity, pressure, soil composition, the size of moving objects, velocity and direction of the surrounding environment, a variety of phenomena. MEMS based micro-sensor technology and wireless networking technology for wireless sensor networks given the broad application prospects. These potential applications can be summarized as: military, aviation, terrorism, explosion, disaster relief, environment, health, health, home, industrial, commercial and other fields.)

Simulation makes any system possible to study and experiment with the complex internal interactions of a given system, whether it be a firm, an industry, an economy or some subsystem of one of these. One of the most powerful techniques of simulation is a Monte-Carlo method. This report introduces the concept of Monte-Carlo method by defining the terms and describing a simple example (the determination or estimation of irregular area using a Monte-Carlo simulation).