Risposto
How to force tfest to estimate the process with "only real poles" ?
TFEST cannot guarantee real poles. If you can work with <=3 poles and <=1 zero, try PROCEST. This is a process model estimator...

oltre 2 anni fa | 3

| accettato

Risposto
What is the difference between FRD and IDFRD
Both FRD and IDFRD are used to store Freqyency Response Data, that is, the complex frequency response vector (Mag.*exp(i*Phase))...

oltre 2 anni fa | 1

| accettato

Risposto
How to estimate the parameter in a customized transfer function
Grey-box identification is an option. You will need to write a function that takes K0 and a0 as inputs, and returns state-space ...

oltre 2 anni fa | 0

Risposto
Minimum input data resolution
Look up Nyquist Sampling Theorem. If you are sampling (hopefully with anti-aliasing) at 1Hz then you cannot theoretically captur...

oltre 2 anni fa | 0

| accettato

Risposto
Well-identified fitted process model does not behave like data on simulink
You are almost there. Convert the model into state-space form and use it for simulation. For initial conditions, you will need t...

oltre 2 anni fa | 0

| accettato

Risposto
How to calculate the transfer function for a 16 input system?
Try also TFEST. Although you might want to reduce the number of inputs by PCA or PLS analysis.

oltre 2 anni fa | 0

Risposto
nlarx model compare and predict (horizon kept 1) fit totally differs
The difference between (finite-horizon) prediction and simulation is a fundamental concept, something you could read books/artic...

oltre 2 anni fa | 0

| accettato

Risposto
Can nlgreyest() estimate open-loop unstable models?
With greyest, either parameterize K matrix using the ODE function, or choose to esitmate it separately by using the "Disturbance...

oltre 2 anni fa | 0

Risposto
System Identification of Closed Loop Data and Unstable Plant
The first reference: [1] System Identification — Theory For the User, Lennart Ljung, Section 13.4-13.5, 2nd ed, PTR Prentice Ha...

oltre 2 anni fa | 0

| accettato

Risposto
Accessing the GUI function programatically.
I will repeat Aditya Baru's comment as an answer. The App now supports MATLAB code generation (creating a function from the tas...

oltre 2 anni fa | 1

| accettato

Risposto
How to set parameters of Recursive Polynomial Model Estimator in Simulink
The Recursive Polynomial Model Estimator supports single output estimations only.

oltre 2 anni fa | 0

| accettato

Risposto
System Identification - Frequency Domain
Make an attempt with stability enforced. opt = tfestOptions('EnforceStability', true); model=tfest(f_data,6,opt) Also, you ...

oltre 2 anni fa | 2

| accettato

Risposto
System Identification Toolboox error dialog
What dataset are you using for validation? Does it suply the inputs and outputs that the model needs?

oltre 2 anni fa | 0

Risposto
Does the order (index) of inputs and outputs matter in MIMO system identification?
Yes the order matters since within a given noise level, there are many models that can explain the data. Settings related to sea...

oltre 2 anni fa | 0

| accettato

Risposto
System Identification Toolbox: How can we modify the starting parameters for the armax-algorithm?
You can set the A, B, C values explicitly, as in estimatedPolymodel.A = ARCoeff Or, call the IDPOLY constructor with A, B, C p...

oltre 2 anni fa | 0

| accettato

Risposto
How to identify a sytem by the System Identification Toolbox that is invertable ?
Tyically yes. If you are estimating state-space model, use "feedthough" name-value pair, as in ssest(Data, order, 'Feedthrough'...

oltre 2 anni fa | 0

Risposto
how to convert a xls to a data ensemble for import into diagnostic feature app
If the data is not too big to fit into MATLAB memory, I would suggest importing it into MATLAB first as a set of tables or timet...

oltre 2 anni fa | 0

Risposto
How can I find initial states for simulation?
Initial states show the effect of the environment on the system. They are not a property of the system to be determined uniquely...

oltre 2 anni fa | 1

| accettato

Risposto
System Identification toolbox: how to print estimated ARMA-coefficients for each iteration step in armax-algorithm
Use "full" display option, as in: opt=armaxOptions('Display','full'); estimatedPolymodel=armax(iddata(outputdata,inputdata,tsa...

oltre 2 anni fa | 1

| accettato

Risposto
how to use state space model?
If you want to reproduce the response of "predict" by (manual) simulation, you will need to generate the right prediction model ...

oltre 2 anni fa | 1

Risposto
how to plot on the same bode plot a manual function plot() with function bode()?
You could try: G = frd(f1(w),w); % assuming f1(w) is a complex numeric vector bode(G,f2)

oltre 2 anni fa | 0

Risposto
Residual analysis of 100% fit model using system identification toolbox
With simulated data with no noise, it is difficult to read the residual results since there is no baseline noise floor. That is,...

oltre 2 anni fa | 0

| accettato

Risposto
Fitting complex function to measurement values
Let X be your data matrix. [~,I]=unique(X(:,1),'stable'); h=X(I,2).*exp(1i*X(I,3)/180*pi); w=X(I,1)*2*pi; G=idfrd(h,w,'Ts',0...

oltre 2 anni fa | 0

Risposto
MISO system identification tool box step response
Yes, use LSIM with input: U = [u, u], where u is a step signal.

oltre 2 anni fa | 0

| accettato

Risposto
Merging MISO ARX models
What you need is horizontal concatenation, not MERGE which is about statistical merger of identical (same I/Os and model structu...

oltre 2 anni fa | 0

| accettato

Risposto
How to Improve the computation speed for 'ARMAX' function?
If you have access to Parallel Computing Toolbox, you could consider replacing the for-loop with a "parfor" loop. Other things t...

oltre 2 anni fa | 0

Risposto
How to estimate the inital state with an ssest output model
In short, you cannot. SSEST is a black-box identification function (unless you pass in a full initialized @idss model as input),...

oltre 2 anni fa | 0

| accettato

Risposto
Why cant I predict kstep ahead when adding System Identification models?
The issue is that algebra on identified models (plus, minus, series, parallel, feedback, inv etc) are not natively supported. Th...

oltre 2 anni fa | 0

| accettato

Risposto
System Identification fitness criterion (NRMSE vs NMSE)
A good model should have goodness of fit measure less than 1, indicating that the error (measured_data - model_reponse) is small...

circa 3 anni fa | 1

| accettato

Risposto
is it possible to convert iddata to cellstr
From iddata object "data", you can fetch the data arrays as cells using: y = pvget(data,'OutputData'); In your latest query, ...

circa 3 anni fa | 0

Carica altro