miniproject

这是一篇关于自适应卡尔曼滤波在目标跟踪系统中应用的学习文章，对学习卡尔曼滤波有很大的帮助(This is an article on adaptive Kalman filter target tracking system applied in the study article, to learn the Kalman filter is very helpful)

主要介绍了一种用matlab程序进行一种双因素影响的分析，并对结果进行分析比较。(Mainly introduces a kind of matlab program for a double factors analysis, and the results are compared. )

This system models a double pendulum system where the rest state has the pendulums balanced to hang at right angles to one another.

说明：  智能控制仿真GUI界面，对离散化的受控对象进行不同方式的控制（包括传统PID控制、模糊PID控制、神经PID控制和专家及仿人智能控制），然后通过分析不同条件下的单位阶跃响应指标，比较各控制方式之间的差异及控制特点。(intelligent control GUI)

非常简单的在matlab下生成M序列的程序(A very simple M sequences generated in the matlab program)

matlab program for character recognition using Neural networks.

利用交互多模型无迹卡尔曼滤波算法实现机动目标跟踪。(Interacting multipl emodel Unscented kalman filter （IMM UKF)is presented to improve the performance of target tracking.)

霍夫曼编码的Matlab实现 包括基本的编码和具体的算法实现(the realization of HuffmanCode by Matlab)

IMM算法 包含CA CV CT模型 较为常见的基本模型(IMM algorithm consists CA CV CT model more common basic model)

递推偏最小二乘法的源程序，确定转换参数，解释原始信号和噪声(Using a sequence of data to trace-back parameter of a transfer function. explain step-by-step easily to this time the original signal+noise MATLAB 7.1.0 (R14SP3) identification, parameter, recursive, rls )