primal_svm

用wolf方法计算时间序列的最大lyapunov指数(Calculated by wolf maximum lyapunov index time series)

基于距离转换的栅格地图路径规划方法,DT方法是从目标位置反向搜索路径。在栅格化环境中，从目标位置开始的距离传播视为一个波(wave front)沿空闲栅格传播。对于环境中任意给定的起始点，其到目标点的最短路径可通过使用最速下降法搜索而得到。(Raster map conversion path planning approach based on distance, DT reverse the search path from the target location. Distance from the target location in the grid environment, spread as a wave (wave front) along the idle grid dissemination. Starting point for any given environment, the shortest path to the target point by using the steepest descent method of searching.)

It is demonstrated that neural networks can be used effectively for the identification and control of nonlinear dynamical systems. The emphasis is on models for both identification and control. Static and dynamic backpropagation methods for the adjustment of parameters are discussed. In the models that are introduced, multilayer and recurrent networks are interconnected in novel configurations, and hence there is a real need to study them in a unified fashion. Simulation results reveal that the identification and adaptive control schemes suggested are practically feasible. Basic concepts and definitions are introduced throughout, and theoretical questions that have to be addressed are also described

ThreeLevelDWT. it explain different level and ycrcb

自己搭建的三电平二极管钳位式有源滤波器，采用双闭环控制方法，利用SVPWM作为触发脉冲(Built their own three-level diode clamp active filter, the use of double closed-loop control method, the use of SVPWM as a trigger pulse)

智能控制及其matlab实现，包括神经网络控制、模糊逻辑控制、预测控制的matlab实现。(Intelligent Control of matlab realize, including neural network control, fuzzy logic control, predictive control matlab.)

matlab在土木工程领域运用，有限元程序，求解振型和频率，给出了阵型图。程序已模块化(matlab use in the field of civil engineering, finite element program, to solve the vibration modes and frequencies are given in Figure formation. Program has a modular)

一种基于双簇头的能量均衡的无线传感器网络路由算法 (Wireless sensor network routing algorithm based on energy balance of the dual cluster head)

watermark using correlation and pn sequence

hey i am uploading this code for modulation in matlab...check this out