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Everything about Nonlinear system identification

Identification of nonlinear systems

System identification is a method of identifying or measuring the mathematical model of a system from measurements of the system inputs and outputs. The applications of system identification include any system where the inputs and outputs can be measured and include industrial processes, control systems, economic data, biology and the life sciences, medicine, social systems and many more. Wikipedia →

🧭 Start here: a 6-step reading path

  1. Read the overview: Nonlinear system identificationA 5-minute orientation
  2. Skim a recent paper: SINDy-SA framework: enhancing nonlinear system identification with sensitivity analysisInfluential work since 2022
  3. Pick up a classic book: Non-Parametric System IdentificationThe most-reprinted book on the subject
  4. Read the landmark paper: System identification of nonlinear state-space modelsCited 498 times
  5. Go sideways: Volterra seriesA closely related topic
  6. Go sideways: Linear-nonlinear-Poisson cascade modelA closely related topic

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🏆 Landmark papers (most cited)

🆕 Influential since 2022

📚 Books worth reading

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