SIS_1_0.3

说明：  The state space equation of the inverted pendulum is given and built in the simulink. The linearization of the system is completed, and the stability, controllability and observability of the system are judged.

用于微波滤波器的设计，对新学者十分有用，理论加工程实例(The design of microwave filter is very useful for new scholars)

说明：  实现位置结算的matlab算法，相当的实用且可靠，值得大家一试(Realize location settlement)

实现光谱数据的预处理，去除背景和基线漂移，具有非常好的效果，已经试验成功。(To achieve the preprocessing of spectral data, removing background and baseline drifts with very good results, and it has been successfully tested.)

使用scratch进行简单的计算，（只包括四则运算）(Computing with scratch)

bandelet 变换，多尺度分析；试验等(bandelet transform, multiple analysis,test)

计算机系统结构的一些幻灯片,适合学生参考-Computer system structure of slides, suitable for students

PIC程序可以用PROTEUS软件进行防真-PIC procedure PROTEUS software can be used for defense really

本课题的针对小型水面无人艇的定位问题，确定无人艇的基本结构、尺寸和外观，进而设计控制系统，完成硬件选型，数据连接和传输方法，建立无人艇数学模型并确定一种智能控制方案，(This topic for small water unmanned boat location problem, the basic structure of unmanned craft, the size and appearance, and design of control system, complete the hardware selection, data connection and transmission method, to establish the mathematical model and determine an unmanned craft intelligent control scheme,)

说明：  粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization (PSO), also called particle swarm optimization (Particle Swarm Optimization), is abbreviated as PSO, which is a new evolutionary algorithm (Evolutionary Algorithm EA) developed in recent years. PSO algorithm is a kind of evolutionary algorithm. It is similar to simulated annealing algorithm. It also starts from the random solution and finds the optimal solution by iteration. It also evaluates the quality of the solution through fitness, but it is simpler than the genetic algorithm rule. It does not have the crossover (Crossover) and the Mutation operation of genetic algorithm. Search for global optimum. This algorithm has attracted the attention of the academic community for its advantages of easy realization, high accuracy and fast convergence, and has shown its superiority in solving practical problems. Particle swarm optimization (PSO) is a parallel algorithm.)