搜索资源列表
ContrLib
- 用MATLAB的脚本语言M语言编写的，用于在MATLAB环境下实现帕笛近似（高阶模型简化降阶）的程序源代码，可以在MATLAB环境下直接运行。-MATLAB M scr ipting language language, MATLAB environment for the realization of Palau under Di approximation (high-order model to simplify Reduction) program source code, in the
matlab.rar
- matlab中线性系统的模型降阶-Pade降阶模型源码,matlab in the model reduction of linear systems Reduced-order model of source-Pade
MORCourse_averhoev
- 模型降阶的资料，十分新颖，主要是非线性系统-Model reduction for nonlinear DAEs
schur
- 模型降阶方法 MATLAB schur方法-Using matlab to program the control system
flexible-plates
- 一个关于柔性板的模型降阶与主动控制程序，降阶方法为模态价值分析和内平衡准则，控制方法采用最优控制方法。-A flexible plate on active model reduction and control program, the value of reduced-order method for modal analysis and balancing the standards, control methods using optimal control methods.
spacecraft-code
- 一个航天器的动力学响应程序，采用模态价值分析准则和内平衡法则进行模型降阶。-Dynamic response of a spacecraft program, the use of value analysis mode within the balance guidelines and rules for model reduction.
foldp
- 线性系统的模型降阶 pade降阶算法 线性系统的模型降阶 -failed to translate
Balanced-Realization-Algorithm
- 一种简单的模型降阶算法，具体为平衡实现算法，希望对你们有用。-A simple model reduction algorithms, specifically balancing algorithm, hope helpful for you.
SCIG
- 基于SCIG的WECS的降阶模型，以2WM，定桨距，刚性传动链的WECS为例说明降解模型及其线性化。-a reduced order model of SCIG based WECS with 2 wm, fixed pitch, rigidity of transmission chain WECS for example shows that the degradation model and its linearization.
pdjjkwdm
- music高阶谱分析算法，采用加权网络中节点强度和权重都是幂率分布的模型，线性调频脉冲压缩的Matlab程序,最大信噪比的独立分量分析算法，用于特征降维，特征融合，相关分析等,包含优化类的几个简单示例程序，用MATLAB实现动态聚类或迭代自组织数据分析。- music higher order spectral analysis algorithm, Using weighted model nodes in the network strength and weight are power l
cw880
- 是国外的成品模型，music高阶谱分析算法，用于特征降维，特征融合，相关分析等。- Foreign model is finished, music higher order spectral analysis algorithm, For feature reduction, feature fusion, correlation analysis.
Arnoldi
- Arnoldi过程是各种大规模计算的一个基本程序，包括计算大规模矩阵的特征值、大规模系统的模型降阶等。(Arnoldi process is a basic algorithm in large-scale computation including eigenvalue solve of matrix and MOR.)