zhongzlb

这些是薛定宇控制系统辅助设计第五章中部分题目的simulink的设计图及代码(Xue Dingyu control system design and code-assisted design of the subject of the fifth chapter part simulink)

在matlab中直接调用的doolittle分解、改善的平方根法分解、追赶法分解小程序(Small program can be called directly in matlab，including doolittle decomposition method，improved square root of decomposition and catching decomposition method using in triangular matrix decomposition)

Hermite插值多项式拟合Matlab程序。运用Matlab软件依据理论可画出Hermite插值图像，并求出Hermite多项式，并应用到实际问题中。(Hermite interpolation polynomial fitting Matlab program。Using Matlab software can be drawn based on the theory Hermite interpolation image, and find Hermite polynomials, and applied to practical problems.)

数字信号分析，MATLAB实现，全好用，适合研究生教材(digital singanal)

一个完整Matlab程序，实现了粒子群算法与人工鱼群算法的比较，体现了两种算法各自的优缺点(A complete Matlab program to achieve a particle swarm optimization and artificial fish school algorithm, two algorithms reflects the advantages and disadvantages of each)

Reinforcement Learning 中以 Q learning 學習的倒單擺實驗。以x,x_dot,theta,theta_dot作為狀態參數 state，利用model模擬之結果做Q值更新，產生Q table，對學習平衡控制。結果以csv檔作為輸出，可以由使用者作圖觀察變化。(Reinforcement Learning , utilize Q learning for An inverted pendulum system control。x,x_dot,theta,theta_dot as state variable，use model result renew Q table，control learning of balance pole 。output csv file contain trail(times),balance time(sec).it s better observe the change if user plot it. )

基于MATLAB环境下各种常用的插值算法的代码 简单明了 便于初学者学习(Based on MATLAB environment variety of commonly used simple interpolation algorithm code easy for beginners to learn)

说明：  用于说明程序如何可以用于一个点目标的相控阵扫描(to show how the procedures can be used for making a phased array scan of a point target)

基本的WIMAX802.16d MAC层的实现，注意只仿真了下行 (Basic WIMAX802.16d MAC layer realize and pay attention only to the downlink simulation)

PLS - DN是一个有限的牛顿为解决非退化的分段线性系统的算法。 PLS - DN的展品可证明半迭代 财产即在全球范围内的精确解在有限数量的迭代算法收敛。被证明是收敛速度 至少前终止线性。 广泛的算法是在我们的AISTATS 2011纸描述：“一个非退化的分段线性系统的有限牛顿算法”。此演示包重新运行 在解决非负最小二乘法（NNLS）问题上的三个稀疏的设计矩阵，从哈威尔波音收集（达夫等人，1989年）第4.2节的实验。 随着PLS - DN，此演示包建议实施五 其他NNLS求解：LCP_Fisher_Newton，LCP_Lemke，PQN，TRESNEI，和SCD (PLS- DN is a finite non-degenerate Newton to solve the piecewise linear system algorithms. PLS- DN exhibits semi-iterative property to prove that the exact solutions worldwide in a limited number of iterative convergence. Proved to be terminated before the linear convergence rate at least. A wide range of algorithms in our AISTATS 2011 paper describes: " a non-degenerate sub-linear systems with limited Newton algorithm." This demo package to re-run in the settlement of non-negative least squares (NNLS) on the design of the three sparse matrices from the Harwell Boeing collection (Duff et al, 1989) Section 4.2 of the experiment. With PLS- DN, this demonstrates the implementation of five other NNLS package proposed solution: LCP_Fisher_Newton, LCP_Lemke, PQN, TRESNEI, and SCD)