搜索资源列表
wavelet
- 小波神经网络实现非线性系统辨识-non-linear system identification by wavelet
zaoshengxitongbianshi
- 含有噪声的多维非线性系统辨识-Noisy multi-dimensional non-linear system identification! ! !
yichuansuanfayingyongyanjiu
- 摘要:本文旨在研究一种能对复杂热工对象的有效建模方法。基于遗传算法的辨识方法有较强的抗干扰能力,对低、高阶系统、延时系统都可以达到很好的辨识效果。根据单元机组的低阶非线性模型,推导出一个双进双出、能够描述机组动态特性及机炉间相互耦合关系的协调控制系统传递函数矩阵。依次模型为基础,提出一种基于改进的遗传算法的参数辨识方法。-Abstract: This paper aims to study a thermal complex objects can be an effective modelin
mRBF
- 高斯网络的非线性动态系统直接逆模型辨识，为一并联结构-The Gauss network non-linear dynamic system direct counter model identification, is a parallel structure
vol_nonlinear
- 在matlab中利用Volterra非线形滤波器进行系统辨识，并带有一个应用示例。代码带有详细注释。-In the matlab filter using Volterra non-linear system identification, and with an application example. Code with detailed comments.
FLch7NNeg2
- 第七章的多维非线性辨识的MATLAB程序例7.2用神经网络学习二维非线性函数 ，是侯媛彬和汪梅的系统辨识课本上第七章的的实验。-Chapter VII of the multi-dimensional non-linear identification procedure Example 7.2 using the MATLAB neural network to learn two-dimensional nonlinear function, is Houyuan Bin and Wan
erweifeixianxing
- 在程序设计和调试过程中①只要在程序中增加类似m或n的循环语句，便可用神经网对三维或三维以上的非线形函数训练，也可以用在复杂系统二个以上独立变量、任意维非线性动态参数的辨识-In program design and debugging process ① similar increase in the program as long as m or n of the loop, you can use the neural network over a three-dimensional or
NLJ-optimization-algorithm
- 用于系统辨识的NLJ算法。适用于状态空间表示的非线性系统，用于系统参数的辨识。-NLJ algorithm for system identification. Applicable to non-linear state space representation used to estimate the system parameters.
boilier identification using Takagi Sugeno
- This paper describes the application of an identification algorithm clustering type Gustafson-Kessel nonlinear dynamical system. From input-output data the algorithm generates fuzzy models of Takagi-Sugeno. This type of modeling is applied to a non