P_PI_PID_CONTROL

说明：  压缩感知compressivesensing2010jan12最新资料,研究其在图像处理模式识别 视觉编码及其硬件实现等，该研究成为2009-2010年国家自然科学基金重要的研究热点，我也刚刚开始涉及该信号处理基础方向(compressive sensing documents search in Feb 2010)

simulink model of a two point control function

Stochastic Nework Optimization via Lyapunov Drift-plus-Penalty technique

说明：  该源码是用simulink对QAM的仿真实现(the source is used Simulink right QAM Simulation)

PID模糊控制程序,附带simulink仿真图形(PID fuzzy control procedures)

itk是美国国家卫生部开发的图像处理程序，但是使用不便，所以制作了他的matlab接口(itk is the United States National Institutes of Health to develop image processing procedures, but the use of inconvenience, so the production of his matlab interface)

Given an output function f(x) and a cost function J(x) (and gradients), optimal inverse functions are found which produce the input x* with the lowest cost based on the current desired output. Output and cost functions produce a scalar. The method is demonstrated on 2D problems (for convenient visualization). With 2D plots removed (all but Figure 41), the code can run higher dimension systems also.

说明：  extern void cfsqp ANSI((int nparam, int nf, int nfsr, int nineqn, int nineq, int neqn,

线性递减权重粒子群优化算法是从随机解出发，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。 (Linear decreasing weight particle swarm optimization starting from random solutions to find the optimal solution by iteration, it is also the fitness to evaluate the quality of the solution, but it is much simpler than the genetic algorithm rules, it is not a genetic algorithm " cross" (Crossover) and " variation" (Mutation) operation, which follow the current search for the optimal value to find the global optimum. The advantage of this algorithm is its ease of implementation, high accuracy, fast convergence and attracted the attention of the academic community, and demonstrated its superiority in solving practical problems.)

BP算法用于分类，MATLAB环境， 可以直接运行。(BP algorithm is used for classification, can run directly.)