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Start Learning About System Identification
The section Approach will guide you through the basic concepts of time-domain linear system identification. You will learn about the essential notions of state-space representations, controllability and observability, as well as the famous Eigensystem Realization Algorithm (ERA), the Observer/Kalman Identification Algorithm and ERA with Data Correlation (ERA/DC).
- Step by step process
- Graphics and schematics to summarize the concepts
- Download all documents
The section Simulations offers you the possibility to apply the concepts of linear system identification to online real-time simulations. Pick a premade system or build your own system, define all the parameters yourself, pick and input signal and launch the simulation. You'll be able to see the results of the identification process and access to all the relevant quantities involved.
- Pick a System & pick a Signal
- Or import your own datasets
- See the results of the identification
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