BP1_txt

遗传算法的源码（精通matlab最优化计算第14章）(The source of the genetic algorithm (proficient matlab optimization calculation Chapter 14))

Fuzzy neural network implementation

结合carsim-simulink，设计路径跟踪算法。(Combined with carsim-simulink, the path tracking algorithm is designed.)

MIT-BIH Arrhythmia ecg , you can see this record frorm 1977 ,female

simulink802.11a_R13SP1是关于802标准的有关仿真练习的一些资料,仅供参考,共同学习.(simulink802.11a_R13SP1 802 on the standard simulation training Xi some of the information for reference purposes only and learning together.)

说明：  在MATLAB中编写程序，利用三边定位算法对未知节点定位。已知在平面坐标系内，三个锚节点的坐标分别为(50,100)、(0,0)和(100,0)，在0≤x≤100，0≤y≤100的区域内随机产生10个未知位置的节点（其横、纵坐标均为上述范围内的随机数）。 利用三边定位算法 对这10个未知位置的节点进行定位（计算其坐标值），并与其真实位置（随机产生的坐标值）进行比较(MATLAB three-side positioning algorithm)

书名：现代控制引论教程 Matlab辅助实验 本教材共9章。第1章介绍了经典控制论的主要内容，这是研究控制论问题时最初引入的理论和方法；第2章是现代控制论采用的状态空间描述，包括连续时间和离散时间空间模型；第3章是系统状态分析；第4章介绍了现代控制论的两个标志性的内容．即系统状态的能控性和能观性，以及能控性和能观性的判定等内容；第5章介绍了系统各种稳定性的概念和判别方法；第6章是在前5章分析的基础上，讨论了系统综合问题，如极点配置、镇定等；第7章介绍了最优控制的基本方法——极小值原理和动态规划法；第8章和第9章分别对控制论的两个分支：随机系统的状态滤波与控制和自适应控制方面等内容作了基本介绍。 (Title: Introduction to modern control experiment textbook tutorial of Matlab including 9 Chapters: Chp1 introduces the main content of classical control theory, cybernetics is the study of this problem first introduced the theory and methods in Chp2 of the modern control theory using state-space description, including the continuous time and discrete time space model Chp3 is the system state analysis Chp4 describes the modern control theory, the two iconic content. The state of the system controllability and observability and controllability and observability of the decision, etc. Chp5 introduces the concept of system stability and discrimination of various methods Chp6 is based on the former 5 chapters and discusses the systems integration issues, such as pole placement, stabilization, etc. Chp7 describes the basic method of optimal control- minimum principle and dynamic programming Chp8 and 9, respectively, on control theory The two branches: the state of stochastic)

汽车行驶工况识别S函数的M文件，根据车速和加速度判断汽车当前行驶的工况。(drive cycle identify)

说明：  因子分析法主程序，输入数据x以及主成分个数，则可以得到因子分析法的结果(Main factor analysis, the input data x and number of principal components, you can get the results of factor analysis)

粒子群算法　　　函数对于适应度函数fitness对其参数，，做出不同方式的比较已测试其对函数结果影响。(Particle swarm optimization)