Identification of block-oriented nonlinear systems starting from linear approximations: A survey
Block-oriented nonlinear models are popular in nonlinear system identification because of
their advantages of being simple to understand and easy to use. Many different identification …
their advantages of being simple to understand and easy to use. Many different identification …
Automatic damage type classification and severity quantification using signal based and nonlinear model based damage sensitive features
Structural health monitoring (SHM) is an emerging technology designed to automate the
inspection process undertaken to assess the health condition of structures. The SHM …
inspection process undertaken to assess the health condition of structures. The SHM …
Comparison of least squares and exponential sine sweep methods for Parallel Hammerstein Models estimation
Linearity is a common assumption for many real-life systems, but in many cases the
nonlinear behavior of systems cannot be ignored and must be modeled and estimated …
nonlinear behavior of systems cannot be ignored and must be modeled and estimated …
Noise reduction in the swept sine identification procedure of nonlinear systems
P Burrascano, M Ciuffetti - Applied Sciences, 2021 - mdpi.com
The Hammerstein model identification technique based on swept sine excitation signals
proved in numerous applications to be particularly effective for the definition of a model for …
proved in numerous applications to be particularly effective for the definition of a model for …
Parallel Hammerstein models identification using sine sweeps and the welch method
V Roggerone, M Rebillat, É Corteel - IFAC-PapersOnLine, 2017 - Elsevier
Linearity is a common assumption for many real life systems. But in many cases, the
nonlinear behavior of systems cannot be ignored and has to be modeled and estimated …
nonlinear behavior of systems cannot be ignored and has to be modeled and estimated …
Automatic damage quantification using signal based and nonlinear model based damage sensitive features
Abstract Structural Health Monitoring (SHM) can be defined as the process of acquiring and
analyzing data from on-board sensors to evaluate the health of a structure. Classically, an …
analyzing data from on-board sensors to evaluate the health of a structure. Classically, an …
Signal-based versus nonlinear model-based damage sensitive features for delamination quantification in CFRP composites
Structural health monitoring (SHM) is an emerging technology designed to automate the
inspection process undertaken to assess the health condition of structures. The SHM …
inspection process undertaken to assess the health condition of structures. The SHM …
[PDF][PDF] Signal-based versus nonlinear model-based damage sensitive features for delamina
M Ghrib - hal.science
Structural health monitoring (SHM) is an emerging technology designed to automate the
inspection process undertaken to assess the health condition of structures. The SHM …
inspection process undertaken to assess the health condition of structures. The SHM …
[PDF][PDF] Signal-based versus nonlinear model-based damage sensitive features for delamination quantification in CFRP
Structural health monitoring (SHM) is an emerging technology designed to automate the
inspection process undertaken to assess the health condition of structures. The SHM …
inspection process undertaken to assess the health condition of structures. The SHM …
Parallel Hammerstein Models Identification using Sine Sweeps and the Welch Method
X BOUTILLON, E CORTEEL, V ROGGERONE… - 2017 - sam.ensam.eu
Linearity is a common assumption for many real life systems. But in many cases, the
nonlinear behavior of systems cannot be ignored and has to be modeled and estimated …
nonlinear behavior of systems cannot be ignored and has to be modeled and estimated …