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Using built in ARX function to estimate a linear ARX model for multiple input/output pairs of different size
Try creating independent iddata objects for each I/O pair. Then merge them into one "multi-experiment" iddata object. Use the mu...

oltre 13 anni fa | 0

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Using ARX to obtain a transfer function from frequency response data
ARX is usually not a good estimator of frequency response data. Please try Output-Error (OE) model which more closely represents...

oltre 13 anni fa | 0

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system identification toolbox
* If you use Output-Error (OE) model structure, then the ratio of the polynomials B and F is your transfer function: TF := B(q)/...

quasi 14 anni fa | 0

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Bode plot for an Array type input signal
Looks like you need to generate the power spectrum of the input signal and compare that to the spectrum of the output. Look in S...

quasi 14 anni fa | 2

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AIC for ARIMA
In System Identification Toolbox, use the armax command to generate a model. Suppose x represents your time series data: z = i...

quasi 14 anni fa | 0

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ARMA forecasting
Use ARMAX function in System Identification Toolbox to estimate an ARMA model, as in model = arma(data, [na nc]) In R2012a: u...

quasi 14 anni fa | 1

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Problem using Hammerstein-Wiener model estimation.
The Hammerstein-Wiener model (idnlhw) contains the linear model as its component. See the "LinearModel" property of the idnlhw o...

quasi 14 anni fa | 0

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Wc = gram(sys,'c') (gramian controllability)
c is just a string indicating your choice of gramian type ('c' for controllability gramian and 'o' for observability) Try: gr...

quasi 14 anni fa | 0

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Z-transform of time domain data
Try this: data = iddata(x,[],Ts) % ts:= sampling time Filter = armax(data, [na nc]) % na, nc are filter design parameters...

quasi 14 anni fa | 0

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time series analysis - correlation
If there is dynamic/causal dependence, you should try dynamic model fitting tools like those in System Identification Toolbox. S...

quasi 14 anni fa | 0

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How to plot more points with bodeplot
You can specify the frequency vector you want as an input argument to BODE or BODEPLOT. You can also fetch the magnitude/phase e...

quasi 14 anni fa | 0

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system identification
By vibration signature, do you mean the frequency responses from the two inputs to the output? Are F1 and F2 constants? Is the s...

quasi 14 anni fa | 0

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system Identification using MEX C++
It seems your ODE file is returning nonfinite values of either y or dx for the current parameter values in model nlgr. To debug ...

quasi 14 anni fa | 0

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bayesian information criterion
What does class(yp) reveal? If it is iddata, you would need to use yp.y(1:4018) to retrieve the predicted response data used in ...

quasi 14 anni fa | 0

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Forecasting function
In R2012a, you can also use a new "FORECAST" function. See help on "idParametric/forecast".

quasi 14 anni fa | 0

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pem: Adding noise model *worsens* fit?
It could be. But to isolate the issue, set 'focus' to 'simulation' in the call to PEM command since by default you are minimizin...

quasi 14 anni fa | 0

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Identification of NARX problem with death time between Inputs and Outputs
Have you looked at nlarx, idnlarx functions in system identification toolbox? The input argument "nk" denotes delay from input t...

quasi 14 anni fa | 0

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Need to incorporate measured plant response into model
What kind of data is it? You could try "impulseest" function in R2012a release which is an FIR estimator.

quasi 14 anni fa | 0

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avoid negative step response
If you are using idproc model type, you can impose a constraint on model's gain (Kp) and zero (Tz) values to achieve this. Other...

quasi 14 anni fa | 0

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Linear Coefficient from Non Linear ARX
try running the getlinmod command on it.

quasi 14 anni fa | 0

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Identifying the numbers of AR or MA terms in matlab
Look into arxstruc, selstruc and n4sid's order selection feature.

quasi 14 anni fa | 0

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SYstem Id doubt
That means that the model is not reliable. What orders did you try? Usually, this indicates unnecessarily high orders.

quasi 14 anni fa | 0

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ARIMA models and Box-jenkins function
In R2012a, use the ARMAX function with "IntegrateNoise" attribute specified using name-value pair. See ARMAX documentation for m...

quasi 14 anni fa | 0

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ARIMA Model - AR(4)AR(364) with MA(7) - too big for MATLAB - how to handle?
Try nlarx. Choose orders [0 0 0], and specify all regressors using "custom regressors". For example: model = idnlarx([0 0 0]...

quasi 14 anni fa | 0

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Enforcing constraints during grey-box state space identification
In R2012a release, idgrey supports specification of parameter constraints. Look at the (new) "Structure" property of the model w...

quasi 14 anni fa | 1

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System Identification - SISO -SIPO
You might need to do some homework on concepts of data fitting, static (e.g. polynomial function) vs. dynamic (e.g., transfer fu...

quasi 14 anni fa | 0

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Compare error plot in command line for system id toolbox model/data object
Have you looked at RESID and PE routines? PE calculates prediction errors and allows specification of initial conditions.

quasi 14 anni fa | 0

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Calculation of dead time and time constant for non linear system
Delays are not necessarily separable from system dynamics such as effect of poles and zeros on the response. However, in many ca...

quasi 14 anni fa | 0

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Data import for System identifications toolbox
You will need to bring data into MATLAB workspace as double matrices first. If using System Identification GUI, you can import v...

quasi 14 anni fa | 0

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grey box parameter estimation with discrete time and force data .
The model suggests it has 2 outputs and 1 input. So I guess "y" should be matrix with 2 columns.

oltre 14 anni fa | 0