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Selecting inputs and measuring nonlinearity in system identification
Andreas Poncet
, George S. Moschytz
Swiss Federal Institute of Technology Zurich
Research output
:
Contribution to conference
›
Paper
›
peer-review
3
Scopus citations
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Keyphrases
Nonlinearity
100%
System Identification
100%
Minimum Risk
100%
Nonparametric Estimation
50%
Minimum Mean Square Error
50%
Statistical Estimation
50%
Estimation Method
50%
Measuring System
50%
Structure Design
50%
Estimation Theory
50%
Nonlinear Model
50%
Nature-based Solutions
50%
Model Choice
50%
Kernel Density Estimation
50%
Bayes Risk
50%
Input-output Data
50%
System Nonlinearity
50%
Data Prior
50%
Input System
50%
Engineering
Nonlinearity
100%
Tasks
50%
Minimum Bayes Risk
50%
Natural Solution
50%
Output Data
50%
Mean Square Error
50%
Model Structure
50%
Nonlinear Model
50%
Earth and Planetary Sciences
System Identification
100%
Nonlinearity
100%