Rajiv Singh

MathWorks

Last seen: 9 jours il y a | Actif depuis 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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Process gain in System Identification seems off by 100
Models have an additional degree of freedom coming from initial conditions. For your data, this interplay means that there is no...

6 mois il y a | 0

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Examples of Deep Learning of Dynamic Systems
Examples used in the IFAC SYSID'24 conference paper titled "Deep Learning of Dynamic Systems using System Identification Toolbox...

7 mois il y a | 2 téléchargements |

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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...

presque 2 ans il y a | 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)

environ 2 ans il y a | 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...

environ 2 ans il y a | 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...

environ 2 ans il y a | 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...

environ 2 ans il y a | 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...

environ 2 ans il y a | 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...

environ 2 ans il y a | 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 ...

environ 2 ans il y a | 0

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

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 0

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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 ...

plus de 2 ans il y a | 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 ...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 0

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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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 1

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

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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 ...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

plus de 2 ans il y a | 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...

environ 4 ans il y a | 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...

environ 4 ans il y a | 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...

plus de 4 ans il y a | 0

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Rajiv Singh

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