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updated 4 months ago

Fitting quadratic curves and surfaces by Levente Hunyadi

Fit ellipses, ellipsoids and other quadratic curves and surfaces to noisy data. (parameter estimation, quadratic curves, quadratic surfaces)

ang2rot(phi, theta, psi)

circlefit(x,y)

eigsm(A,B)

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updated 4 months ago

Bayesian Bounds (Van Trees and Bell) Figures by Kristine Bell

Matlab scripts for figures in Introduction (bayesian bounds, parameter estimation, tracking)

y=sinc(x)

Fig1.m

Fig12.m

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updated 5 months ago

Lithium Battery Model, Simscape Language and Simulink Design Optimization by Robyn Jackey

Multi-temperature lithium battery model using Simscape language and Simulink Design Optimization (lithium, battery, demo)

plot_estim_results.m

plot_estim_results.m

plot_estim_results.m

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updated 7 months ago

polyparci by Star Strider

POLYPARCI calculates confidence intervals for parameters estimated by ‘polyfit’. (polyfit, statistics, parameter estimation)

polyparci.m

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updated 7 months ago

Dynamic Optimization with the APMonitor Toolbox by John Hedengren

Fit a dynamic model to experimental data (orthogonal collocatio..., dynamic simulation, dynamic optimization)

apm(server,app,aline)

apm_app(server,name)

apm_details(server,app,x,lam)

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updated 7 months ago

Dynamic Parameter Estimation and Confidence Intervals by John Hedengren

Tutorial video and files on solving a dynamic optimization problem (confidence interval, parameter estimation, dynamic optimization)

myModel(t,x,k)

myNoise()

myObj(k)

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updated 9 months ago

FUNC2MAT: Convert linear function to matrix by Matt J

A utility to obtain the matrix representing a given linear function (linear function, matrix form, gradient)

A=func2mat(fun,Xtypical,varargin)

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updated 11 months ago

GSM-Socont: Glacio-hydrological model by Bettina Schaefli

Matlab source code of GSM-Socont, Schaefli et al., 2005) (calibration, earth science, hydrology)

[nash,nashlog,bias]=nashbias(obs,sim,writeoff)

adjmeteott.m

courbehypsoinv.m

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updated 12 months ago

Schwartz-Smith 2-factor model - Parameter estimation by Dominice Goodwin

Estimates the model parameters of the 2-factor model presented in Schwartz-Smith(2000). (schwartzsmith 2factor..., kalman filter, parameter estimation)

Kalman_Estimation(y, psi, matur, dt, a0, P0, N, nobs, loc...

MainSS.m

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updated 1 year ago

3D visualization of GMM learning via the EM algorithm by Johannes

The evolution of a GMM in the EM algorithm is visualized by interpolating between iterations. (expectation maximizat..., gaussian mixture mode..., em)

EM_GMM_3d(c,wk,N,movie,Y,D,Cv)

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updated almost 2 years ago

Estimating three parameters of Weibull distribution by Babak Abbasi

This is a simple function to estimate parameters of three-parameter Weibull distribution. (threeparameter weibul..., parameter estimation, weibull distribution)

[Alpha,Beta,Gamma]=momentwbl(x)

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updated 2 years ago

Unscented Kalman Filter (UKF) modeling of FitzHugh-Nagumo dynamics by Henning Voss

Unscented Kalman Filter (UKF) applied to FitzHugh-Nagumo neuron dynamics. (unscented kalman filt..., fitzhughnagumo, estimation)

FitzHughNagumo()

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updated 2 years ago

hessianAnalysisDemo by Steinar Elgsæter

Demo of how Hessian analysis can reveal a poorly scaled estimation problem (hessian, numerical analysis, modeling)

hessianAnalysisDemo.m

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updated almost 4 years ago

Particle Smoothing Expectation Maximization Procedure by Moeti Ncube

An estimation technique for time series data. Extension to previous code (particle filtering, particle smoothing, parameter estimation)

[n1,val]=zerotest(y,m,w)

[p,ll]=parametersfbs(xf,xs,y,wstilda,wstilda2,wstilda3,p)

[x,y,l]=simulatej(a,b,c,d,g,h,lambda,x0,T)

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updated almost 4 years ago

Distributions by Alexandros Gabrielsen

CDF, Inv-CDF, PDF, HF, CHF, Random Generator and Log Likelihood functions. (gramcharlier, cauchy, optimization)

cauchy_cdf(x,m,s)

cauchy_chf(x,m,s)

cauchy_hf(x,m,s)

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updated 4 years ago

Sugeno-type FIS output tuning by Konstantin Sidelnikov

Tunes linear parameters of Sugeno-type FIS output using various methods of solving linear equations (fuzzy logic, sugeno, parameter estimation)

gradient(A, B, Xinit, options)

kaczmarz(A, B, Xinit, options)

kalman(A, B, ~, options)

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updated 5 years ago

fitMatlabCellML by David Cumin

Allows for the parameter estimation of selected constants from a CellML file exported from COR. (cellml, parameter estimation)

DCsGUI(varNames)

[x,fval,exitflag,output]=fminsearchbnd3(fun,x0,LB,UB,opti...

fitMatlabCellML1_5(display)

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updated 5 years ago

Introduction to Simulink Design Optimization by Arkadiy Turevskiy

Materials for "Introduction to Simulink Design Optimization" webinar. (webinar, simulink design optim..., parameter estimation)

PE

PE_project

RO

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updated 6 years ago

Neural Network training using the Extended Kalman Filter by Yi Cao

A function using the extended Kalman filter to train MLP neural networks (fuzzy logic, neural networks, parameter estimation)

[theta,P,e]=nnekf(theta,P,x,y,Q,R)

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updated 6 years ago

Neural Network training using the Unscented Kalman Filter by Yi Cao

A function using the unscented Kalman filter to train MLP neural networks (fuzzy logic, neural networks, parameter estimation)

[theta,P,e]=nnukf(theta,P,x,y,Q,R)

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updated almost 7 years ago

Rational Fraction Polynomial Method by Cristian Gutierrez Acuna

Modal parameter estimation from frequency response function using rational fraction polynomials meth (mechanical modeling, rfp method, degree of freedom)

orthogonal.m

rfp.m

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updated 8 years ago

cauchy by Peder Axensten

Cauchy cdf, pdf, inverse cdf, parameter fit, and random generator. (statistics, probability, cauchy distribution)

cauchycdf(x, varargin)

cauchyfit(varargin)

cauchyinv(p, varargin)

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