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Model transformation / parameter estimation software distribution

Model transformation / parameter estimation software distribution.

1- Freely select the continuous system parameters to be estimated (a secondary system is appropriate), specify the sampling time, and convert to a discrete system. Also describe the step response to be estimated.
2- Perform a least-squares estimation simulation with white noise (specifying the magnitude of variance) added to the target, and consider the estimation accuracy of the least-squares estimation method. (For example, studying estimated values by changing the input signal cycle and target sampling period, studying MSE, studying returning discrete estimates to a continuous system, etc.)

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Model transformation / parameter estimation software distribution

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