ordreg

This is a MATLAB® instrument driver for use with v2.0 of the Instrument Control Toolbox™ and higher. It supports the Agilent E3647A power supply.

将多个变量通过线性变换以选出较少个数重要变量,是一种多元统计分析方法。(Analysis of the relationship between several variables and a special variable )

digital signal processing

摘要 随着火电机组向大容量、高参数和高效率方向发展，对机组热工自动控制系统控制品质的要求也随之提高。在热工过程中，大多数热工对象具有较大的惯性和迟延，且是非线性和慢时变的，部分对象还是多变量的，因而具有很大的不确定性和强耦合性。这就难以建立精确的数学模型，使采用固定参数的PID控制器不能与生产上越来越高的控制要求相适应。 本文主要是研究动态矩阵控制算法在主汽温控制方面的应用。首先，分析了当前火电厂主汽温的控制方式和常规的控制方法，以及影响主汽温变化的各种扰动因素；然后，介绍了动态矩阵控制算法的原理，并基于此原理设计了DMC主汽温控制系统；并且与传统的串级PID控制系统进行了比较，仿真结果表明动态矩阵控制算法的响应速度快，且没有超调，鲁棒性好，控制品质明显优于常规PID控制。 关键词：主汽温；动态矩阵控制；DMC；matlab仿真 (Abstract Developing with the tendency to large capacity, high parameters and high efficiency of fossil-fired unit, the control trait request for thermodynamic automatic control systems is heightened .In thermodynamic process, most thermodynamic objects have large inertia and delay, and are nonlinear and time-variable furthermore, some of them are multi-variable, and also has large uncertainty and strong coupling. This makes it difficult to construct accurate mathematic models, and makes PID controllers with fixed parameters hardly adapted to higher and higher control request in production This article is mainly the research of the application of dynamic matrix control in the main temperature control system. First, it analyzed the conventional control method in the current thermoelectric power station steam system, and the affects of every kind of perturbation factor in the main temperature control system. Then it introduced the principle of dynamic matrix control algorithm, and desi)

matlab本科 长江大学 地球物理与石油资源学院 ppt(matlab Yangtze University Undergraduate courseware)

ceemd2011和2014可以对比看看有什么区别(ceemd2011 and 2014 can be compared to see any difference)

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全称为Ensemble Empirical Mode Decomposition (集合经验模分解)(Wu and Huang, 2009)，是EMD（经验模分解）(Huang et al. 1998 Huang and Wu, 2008)的改进算法，有效的解决了EMD的混频现象。 (Called the Ensemble Empirical Mode Decomposition (a collection of empirical mode decomposition) (Wu and Huang, 2009), EMD (empirical mode decomposition) (Huang et al 1998 Huang, and Wu, 2008) improved algorithm, the effective solution of EMDmixing phenomenon.)

LBP基本算法和各种变形文档，用matlab实现。 在本机上成功运行。(LBP basic algorithm and various modifications documents, using matlab realize. Successfully run on this machine.)

在对能量收集传感网中的压缩感知技术的学习研究过程中，探讨了满足RIP下，所需的测量数m；允许MSE下，可实现的系统延迟；利用LDT，分析SNR不均匀性对k限制特征值的影响。(For energy harvesting sensor networks in the compressed sensing technology learning research, discusses meet the RIP, the required number of measurements m allow MSE, the delay can be implemented system the use of LDT, analysis SNR heterogeneity on k limit the impact of eigenvalues.)