A

(有源代码)数值分析作业,本文主要包括两个部分,第一部分是常微分方程(ODE)的三个实验题,第二部分是有关的拓展讨论,包括高阶常微分的求解和边值问题的求解(BVP).文中的算法和算例都是基于Matlab计算的.ODE问题从刚性(STIFFNESS)来看分为非刚性的问题和刚性的问题,刚性问题(如大系数的VDP方程)用通常的方法如ODE45来求解,效率会很低,用ODE15S等,则效率会高多了.而通常的非刚性问题,用ODE45来求解会有很好的效果.从阶次来看可以分为高阶微分方程和一阶常微分方程,高阶的微分方程一般可以化为状态空间(STATE SPACE)的低阶微分方程来求解.从微分方程的性态看来,主要是微分方程式一阶导系数大的时候,步长应该选得响应的小些.或者如果问题的性态不是太好估计的话,用较小的步长是比较好的,此外的话Adams多步法在小步长的时候效率比R-K(RUNGE-KUTTA)方法要好些,而精度也高些,但是稳定区间要小些.从初值和边值来看,也是显著的不同的.此外对于非线性常微分方程还有打靶法,胞映射方法等.而对于微分方程稳定性的研究,则诸如相平面图等也是不可缺少的工具.值得提出的是,除了用ode系类函数外,用simulink等等模块图来求解微分方程也是一种非常不错的方法,甚至是更有优势的方法(在应用的角度来说).((Source code) numerical analysis homework, this docment includes two parts, the first is ordinary differential equations (ODE) of the three examples, the second part is about the expansion of the discussion, including the higher-order ordinary differential & boundary value solution Problems (BVP). the text of the algorithm and numerical examples are based on the Matlab. ODE from the rigid (STIFFNESS) look into the issue of non-rigid and rigid problem, rigid problems (such as large coefficient VDP equation) such as using the always method ODE45 used to solve the problems , efficiency will be low, with ODE15S the other hand, many of the high efficiency. and the usual problem of non-rigid, there will be used to solve ODE45 very good results. Judging from the order can be for high-order differential equations and first-order ordinary differential equations, higher-order differential equations can be transformed into a general state space (STATE SPACE) used to solve the low-order different)

to genrate a graph in matlab

CHAPTER 10 控制系統的設計 許多受控程序的轉移函數包含一對或更多對的共軛複數極點。在s 平面中若複數 根非常接近虛數軸，則閉迴路系統會變成輕微阻尼或不穩定(CHAPTER 10 control system design of many controlled program transfer function contains a pair or more pairs of conjugate complex number of poles. If the plural in the s-plane root number very close to the imaginary axis, then the closed loop system becomes slightly damped or unstable)

kalman filter code by Wilson Lau

关于星载SAR中DBF技术的应用，给了一些仿真实验，并给出了实验结果。(Spaceborne SAR of DBF on the application of technology to a number of simulation and experimental results are given.)

Probability, Statistics, and Random Processes for Engineers, 4/E by Henry Stark & John Woods

说明：  用MATlab神经网络来做预测的例子，有用的人可以下来看看(Neural network to do prediction with MATlab example, useful to see who can down)

说明：  利用最速下降法的3输入2使出的BP网络，可以快速的得到训练结果(Steepest descent method using 3-input 2 resorted to the BP network, the result can be trained quickly)

随机信号分析 杨福生 清华大学出版社出版(Random Signal Analysis Yang Fusheng Tsinghua University Publishing House)

双闭环直流调速系统matlabsimulink仿真(double loop control sys.simulation)