Topic 5 - Introduction to system identification of LPF.
Topic 5 introduces system identification in the context of LPF. We will describe
a simplified experiment, introduce some fitting tools, and go ahead and estimate
some parameter values of a simulated experiment.
- Introduction to LTPDA's fitting tools (theory, implementation, usage)
- A simplified LPF system identification experiment
- Create simulated experiment data sets
- Build state-space models for system identification
- Calculated expected errors of the parameters (FIM)
- Perform system identification to estimate desired parameters
- Parameter Estimation with MCMC
- Linear Parameter Estimation with Singular Value Decomposition
- Results and comparison
- Use parameter estimates to estimate residual differential acceleration
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Simulate LPF with injected signals |
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Introduction to LTPDA's parameter estimation tools |
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©LTP Team