- ‘n4sid’ function – it supports both time-domain and frequency-domain data, uses noniterative subspace method for estimating linear space models
- ‘ssest’ function- supports both time and frequency domain data, uses Iterative method that uses prediction error minimization algorithm.
How to estimate time-varying state space in Matlab?
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Actually, I have input and output data which by using iddata commend I made a data include input, output and sample time but when I apply them for estimating state space in continuse time domain it gives an error like this:There are too many parameters to estimate for chosen estimation data size. Reduce model order or use a larger data set. and when I reduce model order to zero but it gives an error : NaN and Inf not allowed.
I would appreicate it if someone could guide me how to estimate state space ?
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Sanjana
am 1 Mär. 2023
Hi,
I understand that you need guidance with estimating state space. I see that you have created "iddata"object from input, output and sample time details of the data, and in order to estimate State-Space Models at the Command Line, you can use
For more information on the above functions, refer to the below documentation link
Hope this helps!
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