Input-Dependent Structural Identifiability of Nonlinear Systems

A dynamic model is structurally identifiable if it is possible to infer its unknown parameters by observing its output. Structural identifiability depends on the system dynamics, output, and input, as well as on the specific values of initial conditions and parameters. Here we present a symbolic met...

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Veröffentlicht in:	IEEE control systems letters 2019-04, Vol.3 (2), p.272-277
Hauptverfasser:	Villaverde, Alejandro F., Evans, Neil D., Chappell, Michael J., Banga, Julio R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Analytical models Biological system modeling Computational methods Computational modeling Mathematical model Modeling Nonlinear systems identification Observability Systems biology
Online-Zugang:	Volltext
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