Community Profile

# Rajiv Singh

### MathWorks

Last seen: 23 days ago Active since 2011

Interested in System Identification, Control System Design, Machine Learning, Optimization, Predictive Maintenance

Programming Languages:
Python, C, Java, PHP, R, MATLAB, SQL, HTML, Perl, Fortran
Spoken Languages:
English, Hindi

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Process model with second order disturbance model(Identified with System identification toolbox) convert into Simulink block diagram(not to import with Idmodel)
Get the numerator and denominator polynomials corresponding to the treansfer function G using tfdata: [num, den] = tfdata(model...

3 months ago | 0

time for parameter estimation using ode 45

5 months ago | 0

State-space system identification using known states, inputs, outputs
Initial conditions are not a property of the model that you can estimate in advance. You really need to ask yourself regarding w...

5 months ago | 0

Linearization of dataset generated from s-function model
Hard to say without looking at the actual nonlinear model, but note that in general a "linearization" is valid only in a small l...

5 months ago | 0

Connecting a model to a Kalman filter or extended Kalman filter
Suppose your starting point is a linear model, SYS, identified using an offline identification routine such as TFEST, SSEST, ARM...

5 months ago | 0

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How to use the Recursive Polynomial Model Estimator block for MISO system
Not sure what you have in mind. Can you write the equation whose coefficients you are trying to estimate using the recursive pol...

5 months ago | 0

I would like to edit the properties of the confidence regions plotted using the resid function
The residue plot curves and their standard deviations *that result in the confidence bound patch) are computed in iduis.plots.re...

6 months ago | 0

How can I set nonlinear constraints in a nonlinear grey-box model?
Linear or nonlinear constraints are not supported in nlgreyest directly. Depending upon the problem, you can sometimes get away ...

6 months ago | 0

How does Matlab System Identification Tool estimate Transfer Fcts?
See the tfest reference page, Algorithms and References sections.

7 months ago | 0

Online Parameter Indentification of SIMO System in Simulink
There is no multi-output recursive estimator available today in System Identification Toolbox; this is a limitation. What you ne...

8 months ago | 0

Obtain transfer function from (noisy) measurement data and use this transfer function for control in simulink
Automatic order determination is not easy/trivial in general. The closest we have to this is automatic selection of state-space ...

8 months ago | 0

How to use arxstruc with multiple input multiple output ( MIMO ) systems?
The order combinations accepted by arxstruc can be generated by using the STRUC command; see: Generate model-order combinations ...

8 months ago | 1

Mutivariate regression using Regression Learner App
I would recommend looking at the System Identification Toolbox. It provides many functions for performing linear and nonlinear r...

8 months ago | 0

Transfer Function Models in the System Identification App
The name "Transfer function" is reserved for linear transfer functions (equivalently, linear ODEs) in System Identification Tool...

8 months ago | 0

Output of Transfer Function in Sys ID App not the same as workspace
In addition to the input, you need to ensure that you are using the same initial conditions. See: Estimate Initial Conditions f...

8 months ago | 0

How to develop multi variation equation
+1 on Walter Roberson's comments. In the dynamic system modeling area, the additional information, or assumption, rquired is th...

8 months ago | 0

MOESP algorithm by using n4sid command for discrete time data
The issue is not with the sample time choice but with the system itself. It seems that the data from a system with undamped pole...

8 months ago | 0

Using System Identification Toolbox More Effectively
If you have input and output signals separately, you will need to filter both identically, so that in the resulting transfer fun...

8 months ago | 1

parameter optimization in function

8 months ago | 0

Simulated and predicted response of time-series idnlgrey model in Matlab
IDNLGREY is an "output-error" model, that is, the noise affacts only the output measurements and not the state updates. Hence th...

9 months ago | 0

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How to train a neural-network-based NARX model with multiple time series, each corresponding to a different value of a control parameter (to be included as additional input)
This use case/requirement seems like an extension of linear parameter varying modeling (LPV) framework.There is a certain parame...

9 months ago | 0

Trying to simulate NLARX model in Simulink throws an error
This appears to be a bug. Please reach out to technical support or use the "Report a bug" link on Bugs Existing in R2022a | Bug ...

10 months ago | 0

Data analysis from measurements (PRBS injected to a system -> how to plot the bode of the system response)
This could be seen as an exercise in system identification. Use functions like TFEST,SSEST, ARX to fit a model to the (u,y) data...

10 months ago | 0

How to use chi2gof in system identification white residual test?
The approach looks fine to me in principle, hard to say more without looking at the data. One thing you can try is call RESID wi...

10 months ago | 0

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Can you please provide a general explanation of how the algorithm implemented in the SSEST function works?
ssest contains multiple algorithms for fitting time- and frequency domain data. Roughtly speaking the time-domain identification...

10 months ago | 0

LOES of a high order state space model
You could attempt this in frequency domain. G = frd(OriginalModel,w) % w is a suitably chosen frequency grid ReducedModel = ss...

2 years ago | 1

| accepted

How to build a single input multiple output ARX or ARMAX model with MATLAB
Identification routines want variables to be arranged along the columns, time along rows. Your data "y" is transposed. Also, the...

2 years ago | 1

| accepted

Use of modalfrf for operating measurements
This is essentially a system identification problem. You have non-parametric (tfestimate, spa, spafdr, etfe) techniques and para...

2 years ago | 0

| accepted

How to remove delay from idtf object?
You will need an invertible realization. Try high order transfer function estimations with no delays. Or, if the estimated model...

2 years ago | 0

| accepted