learn_kalman

本文分析了智能机器人仿真系统的功能结构,设计用户交互界面和功能模块,开发用于路径规划!编队问题研究的机器人仿真软件,并对本文中提出的路径规划中的算法和队列控制算法进行了仿真验证.(This paper analyzes the simulation of intelligent robot system architecture, design and functionality of the user interface module, developed for path planning! Formation studies robot simulation software, and raised in this paper, path planning algorithms and queue control algorithm conducted a simulation.)

运用Newton-Raphson方法求解非线性方程（组）,该程序同时支持句柄和符号运算( Application of Newton-Raphson method for solving nonlinear equation (s), the program supports both handle and symbol operation )

A simple source code to learn Matlab GUI

光伏电池阵列输出功率受光照强度和温度变化的影响，因此最大功率点跟踪（MPPT）技术广泛应用于光伏系统中。在所有最大功率点(MPP)控制策略中，扰动观察（P&O）MPPT算法因易实现被广泛应用，然而它的缺点是在稳定工作状态下工作点通过MPP 时会导致能量振荡损耗，并且在光照强度或温度发生突变时表现较差的动态响应。在本文中，提出一种改进型变步长扰动观察MPPT 算法，此方法依据工作点动态调整步长变化，与传统固定步长方法比较，本文提出的方法能有效地提高MPPT 速度和转换效率，通过仿真和实验结果分析，验证了此改进算法的可行性。(PV array output power by light intensity and temperature changes, so the maximum power point tracking (MPPT) technology is widely used in photovoltaic systems. In all the maximum power point (MPP) control strategy, the perturbation and observation (P & O) MPPT algorithm because easy to implement is widely used, but its disadvantage is the steady-state operating point by the MPP causes energy oscillations loss, and in the light intensity or temperature mutated poor performance dynamic response. In this paper, we propose a modified variable step size perturbation and observation MPPT algorithm, this method is based on dynamically adjusting the operating point changes in steps, with the traditional fixed-step methods, the proposed method can effectively improve the speed and efficiency MPPT, The simulation and experimental results verify the feasibility of this algorithm.)

OFDM中物理层仿真，卷积编码，fft，ifft，插入导频，插入循环前缀等，包括matlab详细源代码(OFDM physical layer simulation, convolution coding, fft, ifft, inserting pilot, insert the cyclic prefix，Including detailed matlab source code)

Matlab6.5符号运算及应用，分析了Matlab符号运算及绘图功能，并提供了大量的实例(Matalab 6.5 symbolic operation and the application of Matlab symbolic computation and graphics functions, and provide a large number of examples)

matlab demystified nice book pretty good

说明：  遗传算法求解优化问题的一个程序，学习matlab时可以参考一下(Genetic Algorithm Optimization of a process)

matlab灰色预测模型问题，并求出相对误差(The problem of the matlab gray prediction model, and calculated the relative error)

the phonetic characteristics of BP neural network data classification