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system identification toolbox
Can you post an example? Did you use the same initial conditions at both places?

14 years ago | 0

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underdamped process model
Please see: http://www.control.isy.liu.se/research/reports/2003/2464.pdf and the references therein. Rajiv

14 years ago | 1

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how to identify input and disturbance in ARX 221 model identification
Hi Ganesh, I saw your email to me as well (I recommend using this forum rather than email for asking questions). I believe your...

14 years ago | 0

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Coefficients of the wavelet network
Hi Emanuel, Not that your request is unreasonable, but it is an arduous task to extract out a complete description of the entir...

14 years ago | 0

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Bifurcation Diagram of Henon Map
Bifurcation map is the plot of equilibrium values vs parameters. For the henon map, the equilibrium solutions are x* = ((b-1) +/...

14 years ago | 0

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Sum of square error
What type of model is model1 (what does class(model1) return)? PE is a System Identification Toolbox function that would work on...

14 years ago | 0

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Doubt on the block diagram of the NARX model - matlab documentation
There is a difference between prediction and simulation. For prediction, an autoregressive model would use the past measured val...

14 years ago | 2

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Sum of square error
FPE represents a norm of the prediction error; it stands for Final Prediction Error (more details in the product documentation)....

14 years ago | 0

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Frequency response!!
Please see tfestimate (Signal Processing Toolbox), spa, spafdr, etfe (System Identification Toolbox) for functions that calculat...

14 years ago | 0

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Estimating the Impulse Response from Data, SISO system.
It performs FIR modeling for an appropriately selected number of lags: y(t) = \sum_{i=0}{N-1} b_i*u(t-i). For example, you may d...

14 years ago | 2

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How do I model a time series in MATLAB using ARMA?
For modeling time series see time series modeling functions in System Identification Toolbox such as AR, ARX, ARMAX and NLARX. ...

14 years ago | 2

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Estimate spectrum from AR process
Your theoretical transfer function is G(z) = 1/(1 + z^-2 + 0.5*z^-4). The frequency response is the value of this function for z...

15 years ago | 0

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estimation of markov parameter by recursive least square method
Would something like this work? z = iddata(Y,u, t(2)-t(1)); m = n4sid(z,2); h = impulse(m)

15 years ago | 0

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Low-Level Nonlinearity Evaluation Using Wavenet (SISO System)
In the f(0 and g() formulas you need an inner product. In your formula for f(), replace z'*z by z*z'. In the formula for g()...

15 years ago | 1

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Bode plot from WAV
If all you have is a signal, what you can construct is a power spectrum. If that is what you have in mind, look up "spectrum", "...

15 years ago | 0

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Frequency response
See also "frestimate".

15 years ago | 1

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model parameter must be a string error
This usually happens when you inadvertently call the *function* SIM (which is /toolbox/simulink/simulink/sim) rather than the *m...

15 years ago | 0

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Finding frequency response of a data set
See also tfestimate in Signal Processing Toolbox.

15 years ago | 0

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Finding frequency response of a data set
Try System Identification Toolbox. If you have your input and output data, you can use it to create a parametric model (such...

15 years ago | 0

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About wavenet documentation
The formula shown for overall nlarx model is just a shorthand notation for the actual one and it is there only for the ease of d...

15 years ago | 1

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Frequency response for 1 DOF motion excitation system
See BODE, FREQRESP commands that work on TF, SS, ZPK. Basically, use TF to represent your system as transfer function. Use BODE ...

15 years ago | 1

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About wavenet documentation
I am not sure what your question is, but see the following: (1) For details on the formula used to represent a wavelet networ...

15 years ago | 0

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Right hand plane pole/zeros
This is a discrete-time model and so the test of stability is whether the poles are inside the unit circle; test abs(pole(sys))<...

15 years ago | 0

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using multi-experiment data using 'merge'
Multi-experiment data give you an opportunity to use multi data sets together for estimation. All data sets should have identica...

15 years ago | 0