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

quasi 15 anni fa | 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

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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) +/...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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)....

quasi 15 anni fa | 0

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

quasi 15 anni fa | 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...

quasi 15 anni fa | 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. ...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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)

quasi 15 anni fa | 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()...

quasi 15 anni fa | 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", "...

quasi 15 anni fa | 0

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Frequency response
See also "frestimate".

quasi 15 anni fa | 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...

quasi 15 anni fa | 0

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

quasi 15 anni fa | 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...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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 ...

quasi 15 anni fa | 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...

quasi 15 anni fa | 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))<...

quasi 15 anni fa | 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...

circa 15 anni fa | 0