Detecting nonlinear modules in a dynamic network
| Autor: | P.M.J. Van den Hof, Maarten Schoukens |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Linear Approximation
0209 industrial biotechnology Work (thermodynamics) Dynamic network analysis Computer science 020208 electrical & electronic engineering System identification System Identification Dynamic Networks 02 engineering and technology Nonlinear system 020901 industrial engineering & automation Control and Systems Engineering Control theory 0202 electrical engineering electronic engineering information engineering Linear approximation Nonlinear Systems |
| Zdroj: | IFAC-Papers |
| ISSN: | 2405-8963 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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