Data-based identifiability and observability assessment for nonlinear control systems using the profile likelihood method
T Schmitt, B Ritter - IFAC-PapersOnLine, 2020 - Elsevier
This paper introduces the profile likelihood method in order to assess simultaneously the
parameter identifiability and the state observability for nonlinear dynamic state-space …
parameter identifiability and the state observability for nonlinear dynamic state-space …