wordreportdemo

有一个3阶对象，要求使用继电自整定方法对其实施自适应PID控制。 要求： 1、选择采样时间0.1s，把对象离散化。 2、加继电（开关）控制，测量对象的Tc,Kc。 3、利用ZIEGLER-NICHOLS 公式表，确定PID参数。 4、实现闭环控制。 5、根据调节效果，修正PID参数。 (A 3-order object, requires the use of relay self-tuning PID control methods on the implementation of adaptive. Requirements: 1, select the sampling time 0.1s, the discrete objects. 2, plus relay (switch) control, measurement object Tc, Kc. 3, using ZIEGLER-NICHOLS formula table, determine the PID parameters. 4, closed loop. 5, according to moderating effect, the amendment PID parameters.)

LEARN_KALMAN Find the ML parameters of a stochastic Linear Dynamical System using EM.

一个KNN的matlab程序，供感兴趣的人士学习(A KNN matlab program for those interested in learning)

Simulink diagram of abc to alpha beta and dq transformation

说明：  自己的一点小资料，很乱，设计一些例子，svm的，之类的(Little information, messy, design examples, svm, like the)

宝钢厚板厂物流分流技术，分流清晰，有仿真，可以借鉴。(park transfer model，universial)

考虑到传统的多示例多标签框架忽略了标签相关性，或者是将标签相关性作为全局概念知识加以利用，我们将局部标签相关性引入到MIML一SVM多示例多标签学习框架中来，得到了一种新的多示例多标签学习算法MIML LC SVM(Taking into account the traditional multi-sample multi-label framework ignores the label correlation or correlation between the label to be used as a global concept of knowledge, we will bow} local label correlation MIML into a multi-instance multi-label SVM learning framework in the past, get a new multi-instance multi-label learning algorithm MIML LC SVM)

Currently systems and dynamics research is ongoing in modeling and identification primarily for controller design, state estimation and fault detection/diagnosis. With accurate and precise system model identification, no aspect from controls to fault detection should have to employ unreasonable architectures/strategies to lower production cost and to expand the operational life of the turbine

张量分析工具箱，很适合多方式成分分析与多传感器源数据融合。(tensor tool box, it s fitful for multi-way analysis and data fusion)

在某初教机的线性模型基础上，建立了飞机的纵向和横向传递函数，分析了模型参数的不确定性，通过使用MATLAB中的NCD模块对飞行控制系统及PID控制器等参数进行优化，设计出了飞机的自动驾驶仪高度保持和航向保持模式。这种方法既避免了复杂的计算和编程，又使系统具有较好的稳定，陛、动态性能和鲁棒性，克服了飞机模型参数随着高度和速度的变化（即模型参数存在不确定性）而需要按照多个不同高度和速度的飞行区域设计一系列控制器的缺点(early in a plane of the linear model, based on the aircraft's vertical and horizontal transfer function, Analysis of the model parameters of uncertainty, MATLAB through the use of the NCD Blocks flight control system and PID controller parameters for optimization, design of the aircraft's automatic pilot systems, and maintain a high degree course-keeping mode. This method not only avoids the complex calculation and programming, the system has good stability, Her Majesty, dynamic performance and robustness. overcome the aircraft model parameters with the height and speed of change (that model parameters uncertainty exists) and the need to not more than with the height and speed of regional flight controller design a series of shortcomings)