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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.

15年弱前 | 0

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How do I change a transfer function with an exponential term to state space model in simulink? System identification question as well
The difference you are observing is on account of initial conditions. Converting to state space would the right way to avoid tra...

15年弱前 | 0

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control system toolbox - state space model containing constant vectors
One way is to add a new state to the system whose derivative is zero. Let X = [x; x2] where x2 is a single variable if f ...

15年弱前 | 1

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CAPTAIN Toolbox - fwrite problem
This is a third party product whose developers might not be watching MATLAB answers. You might have better luck reaching them th...

15年弱前 | 0

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How to obtain the detailed function of NLARX model
If by "detailed expression" you mean the underlying formulas used for representing the input-to-output relationship, then you co...

15年弱前 | 1

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About system identification
Please download a description of the algorithm and related information from: https://skydrive.live.com/redir.aspx?cid=1f5749a...

15年弱前 | 0

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Coefficients of the wavelet network
If you have not received this from Dr. Zhang already, please download: https://skydrive.live.com/redir.aspx?cid=1f5749af4ea08...

15年弱前 | 1

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Forecasting function
Mario, You are not using forecast correctly. The idea is to NOT call it in a loop (that defeats the purpose). You should simply...

15年弱前 | 0

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Parameter Estimation of Time Varying State
Do you mean that the state-space matrices A,B,C,D are time dependent? If so, please look into the "nonlinear grey box" modeling ...

15年弱前 | 0

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Nonlinear Grey Box Modeling code - really slow or not working?
A common reason for slowness is that the system is slow to simulate. You can quickly assess this by running a simulation command...

15年弱前 | 1

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estimating parameters for model of 3 differential equations
One convenient way of handling estimating parameters of ODEs is facilitated by System Identification Toolbox. Some links: htt...

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Using System Identification Process models for transfer functions with more than one zero
I am assuming you want to estimate a continuous-time model directly from data. There are some options: * If you do not need t...

15年弱前 | 0

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Forecasting function
Give the following function a try. Let me know if it works. function YP = forecast(model,data,K, Init) %FORECAST Forecast ...

15年弱前 | 0

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System Identification using process models with more than 3 poles and/or 2 zeros and delays
I did not realize you were using the nonlinear grey box approach. Your attempt looks reasonable to me and I can't think immediat...

15年弱前 | 0

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System Identification using process models with more than 3 poles and/or 2 zeros and delays
Delay estimation, I am afraid, does make things difficult. I am guessing your ODE file is returning discretized values of state-...

15年弱前 | 0

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Closed Loop system identification toolbox
A model in System Identification Toolbox represents the equation y = Gu + He where G is the transfer function between y and u a...

15年弱前 | 2

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Simulink State space linear LTI system with complex valued matrices B and C
Have you looked at LTITR?

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Closed Loop system identification toolbox
You need data that comes from measurements of a system operating in closed loop. How are your measuring these input/output signa...

15年弱前 | 2

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system identification: computing output of a model
*Specifying initial conditions for simulation of polynomial models* The SIM command does not support this directly. But there a...

15年弱前 | 0

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Time Series with System identification toolbox
Based on what you wrote your code appears to be in the right direction. After you get your model "TF", put it in Simulink using ...

15年弱前 | 0

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Error in passing parameter for MATLAB function From .net
Hi Sathiyaseelan, Do you still have a question?

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No model detection for a input / output vectors in a MIMO Syetem
What do you mean by "no model for a MIMO transfer function"? If you are trying to analyze if j:th output is affected by i:th inp...

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Time Series with System identification toolbox
What is your ultimate goal? A time series model is used for prediction, not simulation. Simulink is a simulation environment whe...

15年弱前 | 0

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Nonlinear Data Fitting for ODE
See ODE parameter estimation functionality (aka nonlinear grey box modeling) of System Identification Toolbox. Some links: ht...

約15年前 | 0

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time series prediction
If your regression equation suggests that output at a time t is a function of input at time t-1, then you do need that input val...

約15年前 | 0

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How can I simulate a LTI system with complex data?
Simulation (time domain response calculation) of complex LTIs is not supported. You can cast is into a real system (as Gurudatha...

約15年前 | 0

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step ahead prediction of a non-linear model
PREDICT function is the closest one you would use for predicting the output of a model N steps into future. The limitation is th...

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Estimation of transfer function
There is also the "grey box" approach that lets you parametrize your model any way you like. For this, write a MATLAB function t...

約15年前 | 0

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About system identification
See: https://skydrive.live.com/redir.aspx?cid=1f5749af4ea080cd&resid=1F5749AF4EA080CD!124

約15年前 | 1

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Using the misdata function on two-dimensional arrays
Can you post an example? By "two dimensional" array of data, do you mean data containing two output signals?

約15年前 | 0