Detecting nonlinear modules in a dynamic network: a step-by-step procedure

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Abstract

Adopting a dynamic network viewpoint allows one to analyze and identify subsystems of a complex interconnected system. When studying a network of dynamic systems, it is important to know if significant nonlinear behavior is present in a dynamic network under study and where the nonlinearity is located in the network. This work extends the Best Linear Approximation framework from the closed-loop to the networked setting. The framework is illustrated using a practical step-by-step estimation and analysis procedure. It is shown how nonlinear behavior can be quantified and located in a dynamic network using this framework.

Original languageEnglish
Pages (from-to)593-597
Number of pages5
JournalIFAC-PapersOnLine
Volume51
Issue number15
DOIs
Publication statusPublished - 1 Jan 2018
Event18th IFAC Symposium on System Identification (SYSID 2018) - Stockholm, Sweden
Duration: 9 Jul 201811 Jul 2018

Keywords

  • Dynamic Networks
  • Linear Approximation
  • Nonlinear Systems
  • System Identification

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