positionsolution

PSK调制与解调都有的程序，解调过程详细，并有误码率分析(PSK modulation and demodulation are the procedures, demodulation process in detail, and a bit error rate analysis)

说明：  matlab编写的相同要求时提某列取大小值。(Matlab prepared by the same requirements when a series from a size value.)

The model used for creating the reference voltage is shown in Fig. 4. First, photovoltaic output current (Ipv) and output voltage (Vpv) are passed through a first order low pass filter with a magnitude of G = 1 and a time constant of T = 0.01 seconds in order to filter out the high frequency components or harmonics from these signals as shown in Fig. 5 and Fig. 6. The filtered current and voltage signals (Ipv_F and Vpv_F) are then fed into the MPPT control block that uses the Incremental Conductance Tracking Algorithm. An algorithm that is based on the fact the slope of the PV array power curve shown in Fig. 7 is zero at the Maximum Power Point (MPP), positive on the left of the MPP, and negative on the right. The MPP can thus be tracked by comparing the instantaneous conductance (I/V) to the incremental conductance (∆ I/∆ V) [11] as in (1):

(1)针对在线计算量大这一缺陷，将预测控制中的柔化输出信号的思想推广到柔化输入信号，使得约束条件被简化为仅对当前控制量的约束，可以直接计算得出；同时该方法避免了求逆矩阵，大大减小了计算量，并能够保证控制算法的可行性和良好的控制性能。 (2)针对传统算法中设计参数整定困难这一缺点，应用基于BP神经网络变参数设计的广义预测控制算法，实现了对控制量柔化参数的在线调整。 (3)利用带有遗忘因子的最小二乘法对系统辨识。本文通过仿真发现该方法对于Hénon混沌系统并不完全适用，可考虑利用其他优化系统辨识的方法对本方法进行改进，以期达到更好的辨识效果。 (4)针对系统稳定性分析复杂，本文在控制增量前加入前馈因子，保证所选的Lyapunov函数使闭环系统满足Lyapunov稳定判据，由此证明闭环系统稳定。 (1. To solve the problem of GPC huge computation, algorithm with input increment constraints is presented in which the concept of output softness was used to soften the input increments．As a result, the constraints are simplified to be the only one constraint on the current control increment which can be computed directly. At the same time, it needn’t computing the inverse matrix and thus reduces large computation. Moreover, it guarantees the feasibility of the algorithm and has good control performance． 2. To overcome the difficulty in the choice of tuning parameters in traditional GPC, a GPC algorithm with variable parameter design based on BP neural network. is presented，in which the input softness parameters are tuned on line. 3. In this paper, we Identify system by using the least square method with forgetting factor. However, after system simulation, we realize that this method doesn’t fit the Hénon chaotic system perfectly. So we recommend modify this method by other Optimizati)

很好用的MIMO仿真分析工具，对于MIMO理解很有帮助(good use of MIMO simulation analysis tool, useful for understanding MIMO)

matlab6.5图形图像处理源程序，很经典的一本关于图像处理算法和代码的书。(Graphics Image Processing matlab6.5 source, it is a classic on the image processing algorithms and code book.)

说明：  关于利亚普诺夫稳定性的模型参考自适应m文件(Australia Punuo Fu on the stability of model reference adaptive m file)

Audio Inpainting Toolbox By Valentin Emiya, INRIA, France Amir Adler, The Technion, Israel Maria Jafari, Queen Mary University of London, UK Contact: valentin.emiya@inria.fr ------------------------------------------------- Requirements The code has been developped in Matlab (R2010a). The CVX toolbox is required by solvers. Installation Just unpack the archive and ensure that you have CVX installed

7.5 积分一步的变步长龙格-库塔法grkt2.c 7.6 积分一步的变步长基尔法ggil1.c 7.7 全区间积分的变步长基尔法ggil2.c 7.8 全区间积分的变步长默森法gmrsn.c 7.9 积分一步的连分式法gpbs1.c 7.10 全区间积分的连分式法gpbs2.c(7.5 Integral-step variable step-queue grid- Kutta method grkt2.c 7.6 Integral variable step by step Kiel France ggil1.c 7.7 points between the region variable step-size Kiel France ggil2.c 7.8 points between the region variable step-size Merson method gmrsn.c 7.9 integral step in continued fractions method gpbs1.c 7.10 points between the region' s continued fractions method gpbs2.c)

有限元平面三节点单元计算，输入对应的node、element、force、constrain文件即可计算(FEM 3 nodes)