This program simulates plant IDentification least mean square (NLMS) alogrithm reference: 《LMS算法的频域快速实现》
标签： IDentification alogrithm simulates reference
上传时间： 2013-12-17
上传用户：kristycreasy
This program simulates plant IDentification using frequency block least mean square (FBLMS) alogrithm reference: 《LMS算法的频域快速实现》 LMS is modified by XXX in XXX place, see details in XXX relevant document
标签： IDentification frequency simulates alogrith
上传时间： 2016-02-29
上传用户：kytqcool
map IDentification laquo yuan Problem description : the digital image processing of an image often expressed as a macute M pixel matrix. Each pixel value is 0 or 1. The value of 0 pixel image, said background, and the value of a pixel image, said a map of a million, usually called map million pixels. When a pixel in another pixels above, below, left or right, said that two adjacent pixels of the pixel. An image of the pixels belonging to the same map yuan, instead of adjacent pixels belonging to different map yuan. Figure yuan IDentification of problems is right for the given image pixel map marking yuan, making the same map billion yuan pixel map of the same markings and different map billion yuan pixel map of their marks are different. Trial queue abstract data type design solut
标签： image IDentification description processing
上传时间： 2013-12-15
上传用户：15736969615
环境下构建一种新的系统辨识仿真工具箱(SIST: System IDentification Toolbox)的原理与实现,讨论了在MATLAB 环境下工具箱的数据和算法结构形式,以及利用GUIDE完成图行界面的设计,用MATLAB 与C++混编技术实现物理系统的I/O 接口和系统辨识...
标签： IDentification Toolbox MATLAB System
上传时间： 2016-03-29
上传用户：wang0123456789
System IDentification s matlab program
标签： IDentification program System matlab
上传时间： 2016-03-31
上传用户：sssl
The neuro-fuzzy software for IDentification and data analysis has been implemented in the MATLAB language ver. 4.2. The software trains a fuzzy architecture, inspired to Takagi-Sugeno approach, on the basis of a training set of N (single) output-(multi) input samples. The returned model has the form 1) if input1 is A11 and input 2 is A12 then output =f1(input1,input2) 2) if input1 is A21 and input 2 is A22 then output =f2(input1,input2) 看不懂，据高手说，非常有用。
标签： IDentification neuro-fuzzy implemented analysis
上传时间： 2014-01-12
上传用户：zgu489
Nonparametric IDentification Of A Particular Nonlinear Time Series System
标签： IDentification Nonparametric Particular Nonlinear
上传时间： 2014-11-30
上传用户：515414293
Enhance Extened Display IDentification data Standard
标签： IDentification Standard Enhance Display
上传时间： 2016-06-14
上传用户：lhc9102
Single Neural Net PID Controller based on RBF IDentification using matlab
标签： IDentification Controller Single Neural
上传时间： 2014-11-29
上传用户：ddddddos
The main features of the considered IDentification problem are that there is no an a priori separation of the variables into inputs and outputs and the approximation criterion, called misfit, does not depend on the model representation. The misfit is defined as the minimum of the l2-norm between the given time series and a time series that is consistent with the approximate model. The misfit is equal to zero if and only if the model is exact and the smaller the misfit is (by definition) the more accurate the model is. The considered model class consists of all linear time-invariant systems of bounded complexity and the complexity is specified by the number of inputs and the smallest number of lags in a difference equation representation. We present a Matlab function for approximate IDentification based on misfit minimization. Although the problem formulation is representation independent, we use input/state/output representations of the system in order
标签： IDentification considered features separati
上传时间： 2016-09-20
上传用户：FreeSky
