CoefsMel

预测控制是一种新型的控制算法之一。经典的PID控制方法简单方便,但是精度不高。近年来发展的自适应、自校正方法精度高,但其本质要求在线辨识对象模型,对过程的未建模动态和扰动的适应能力差,鲁棒性不好。预测控制方法集PID和自适应方法二者之长,是一种面向工业过程特点、对模型要求低、在线计算方便、控制精度高的算法。数字计算机向小型、高速、大容量、低成本方向的发展,为预测控制这类新算法的实现提供了物质基础。 本文以PCT—Ⅲ型过程控制系统装置为平台,将预测控制算法运用到实际系统中去,该装置分为水位系统和温度系统。本文是将多步预测控制算法运用到温度系统。应用控制软件采用北京亚控公司的组态王软件(KingView),它界面设计能力强,也可以简单编程,但计算能力差,不能进行矩阵计算。而在温度多步预测控制中,计算量大,编程复杂,因此引入Matlab软件解决计算和编程,要解决的问题是MATLAB和组态王的数据交换,采用动态数据交换技术(DDE)。 预测控制算法有多种,本文采用的是动态矩阵控制方法(DMC)。(Predictive control is one of a new control algorithm. The classic PID control method is simple, but the accuracy is not high. In recent years the development of adaptive, self-calibration method is accurate, but its object model online identification of the essential requirements of the process unmodeled dynamics and disturbances poor adaptability, robustness is not good. Prediction and adaptive PID control method sets the length of the two methods is a feature for industrial processes, low requirement on the model, online convenience of calculation, the control algorithm for high accuracy. Digital computers to small, high-speed, large capacity, lower costs of development, such as predictive control implementation of the new algorithm provides the material base. In this paper, PCT-Ⅲ type of process control system devices as a platform, the predictive control algorithm to apply to the actual system, the device is divided into water system and temperature system. This is a multi-step pre)

allows you to select an unlimited number of points from the current graph using plus Bank balance

由语言编和应用编两部分组成，语言编介绍MATLAB语言的基本语法，既便于自学，应用编给出80个实例(it composed by language and application, language part describes the basic syntax of the MATLAB ,and application part have 80 examples .both for self_learning)

弹性振子简谐运动:此程序反映了在理想中弹簧振子的简谐运动轨迹(Simple harmonic motion)

鸢尾花数据梯度下降，实现鸢尾花数据的分类，包含批算法和普通算法(Iris Data gradient descent, to classify iris data, including batch algorithm and the general algorithm)

主要的粒子群优化方法的matlab实现,粒子群优化算法的主要理论的实现方法(the methods of the PSO)

对HARQ系统的吞吐量分析，实现典型相关分析，基于chebyshev的水声信号分析。( HARQ throughput analysis of the system, Achieve canonical correlation analysis, Based chebyshev underwater acoustic signal analysis.)

这是一个matlab的源码。代码实现了刚性及非刚性配准(This is a matlab source. Code implements rigid and non-rigid registration)

使用CAV方法求解病态方程组，得出较为精确的解，(Using the CAV method for solving equations ill, arrive at a more accurate solution,)

Levenberg-Marquardt优化单应性矩阵，也可经过修改用于相机标定参数的优化(Levenberg-Marquardt optimization homography can also be modified for optimization of camera calibration parameters)