PID control of identitified two tank system by Özgür Alpan

This example includes identification of two tank system with sysid tool and its PID control. (pid, identification, two tank system)

x_sum(x)

x_sum(x)

twotank.m

Measures of Analysis of Time Series toolkit (MATS) by Dimitris Kugiumtzis

MATS computes many measures of scalar time series analysis on many time series in one go. (nonlinear dynamics, time series analysis, finance)

AAFTsur(xV,nsur)

AMRBootstrap(xV,arm,nsur)

ARMAfitite(xV,mV,pV,TV)

Data based modeling of nonlinear dynamic systems using System Identification Toolbox by Rajiv Singh

Perspectives on nonlinear identification using a throttle valve modeling example. (system identification, narmax, nlarx)

throttleODE(t, x, F, c, k, K, b, varargin)

dataprep.m

throttledemo.m

Developing Models from Experimental Data using System Identification Toolbox by Rajiv Singh

Describe linear and nonlinear data-centric modeling approaches. (control, narx, nonlinear model)

webinar_walk_through.m

ExampleModel

Friction_Model

Gravity Measurement Case Study by Robert Bemis

Scientific imaging case study with MATLAB and toolboxes. (example, image processing, image acquisition)

FindImaqDevices(desiredFormat)

[x,y]=limits(a)

readme

Chinese Matlab Digest: Matlab Technical Bulletin by Hong Zhang

Chinese Matlab Digest is the first matlab digest published in Chinese by www.iLoveMatlab.cn (digest, matlab digest, chinese digest)

CaToKi V2. System Identification ToolKit in Open loop SISO. by Francisco-Ronay Lopez-Estrada

Is an easy tool for system idenfication of real procces. (armax, outputerror, system identification)

CaToKi(varargin)

ballbeam(action)

integ(varargin)

Minimum Description Length by William Rose

Computes MDL for a model. (system identification, mdl, minimum description l...)

x=mdl(m)

musysid by Giampiero Campa

Mu-Tools based Multivariable System Identification (system identification, multivariable, system)

G=phasefix(ff)

[fr,sp,dfr,dsp]=ff2vm(ff)

[th,datan]=rarx3(y,u,adm,adg,data0)

System Identification using GA with a GUI interface by Wesam Elshamy

Idnetifying ARX model of a system using Genetic Algorithms with a GUI interface and compare it to Le (system identification, arx, applications)

[A B]=genalg(error, population_size, mutation, no_of_genera...

arx2(y, u, na, nb, nk, error, pop, mutation, no_of_generati...

fitness(gene)

System Identification using GA with a GUI interface by Wesam Elshamy

Idnetifying ARX model of a system using Genetic Algorithms with a GUI interface and compare it to Le (optimization, system identification, ga)

[A B]=genalg(error, population_size, mutation, no_of_genera...

arx2(y, u, na, nb, nk, error, pop, mutation, no_of_generati...

fitness(gene)

CaToKi, System identification GUI by Francisco-Ronay Lopez-Estrada

This work present a new GUI interfaz for system identiication SISO in open loop, acording to Ljang (system identification, ca toki, identification)

Advanced Control with MATLAB and Simulink by Jerzy Moscinski

Companion Software (controls, advanced control, concepts)

Chen_adaptive(t,x,u,flag,nunf1,nunf2,nung1,nung2,lrf,lrg,lr...

Chen_adaptive(t,x,u,flag,nunf1,nunf2,nung1,nung2,lrf,lrg,lr...

NEMOL(t,x,u,flag,nA,nB,k,nun,lr,offset,ts);

advstat by Arthur Jutan

Adds some additional capabilities to the Stats TB (statistics, probability, estimation)

CURVEFITEG1

[b0,b,B]=leasrsm(x,type)

[std,varresid,r2,cor,vcv,varinf]=regdata(param,yfit,ydata,j...

Introduction to Applied Statistical Signal Analysis, 2e by Richard Shiavi

Companion software, interactive notebooks for learning signal analysis. (signal processing, notebooks signal anal..., applied statistical)

i4c - identification for control package by Wolfgang Reinelt

Features implementations of stochastic embedding, set membership estimation, and error modeling. (system identification, identification, robust control)

Tree-Ring MATLAB Toolbox by David Meko

Utility functions for analyzing tree-ring data with MATLAB. (treerings, tree rings, dendrochronology)

IX=crospull(nyears,nlag,plag)

Lgood=nonan01(L)

[A,mlabs]=prepmos(P,T,yrs,endmo,nmos)