Rajiv Singh

MathWorks

Last seen: Today | Con actividad desde 2011

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

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Python, C, Java, PHP, R, MATLAB, SQL, HTML, Perl, Fortran
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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...

más de 1 año hace | 0

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time for parameter estimation using ode 45
See also Estimate Coefficients of ODEs to Fit Given Solution - MATLAB & Simulink (mathworks.com)

más de 1 año hace | 0

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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...

más de 1 año hace | 0

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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...

más de 1 año hace | 0

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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...

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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...

más de 1 año hace | 0

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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...

más de 1 año hace | 0

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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 ...

más de 1 año hace | 0

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

más de 1 año hace | 0

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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...

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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 ...

más de 1 año hace | 0

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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 ...

más de 1 año hace | 1

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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...

más de 1 año hace | 0

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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...

más de 1 año hace | 0

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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...

más de 1 año hace | 0

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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...

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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...

más de 1 año hace | 0

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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...

más de 1 año hace | 1

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parameter optimization in function
See also Classical Pendulum: Some Algorithm-Related Issues - MATLAB & Simulink Example (mathworks.com)

más de 1 año hace | 0

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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...

casi 2 años hace | 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...

casi 2 años hace | 0

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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 ...

casi 2 años hace | 0

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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...

casi 2 años hace | 0

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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...

casi 2 años hace | 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...

casi 2 años hace | 0

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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...

más de 3 años hace | 1

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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...

más de 3 años hace | 2

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

más de 3 años hace | 0

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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...

más de 3 años hace | 0

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Testing different optimization methods on a state space model by solving ODEs
The closest infrastructure to this style of numerical optimization approach is "grey box identification". See idgrey, idnlgrey, ...

más de 3 años hace | 0

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Rajiv Singh

MathWorks

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