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On identification of nonlinear systems
S.L.J. Mous
Mathematical and Statistical Methods - Biometris
WIMEK
Research output
:
Thesis
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internal PhD, WU
Overview
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Engineering
Design of Experiments
100%
Extended Kalman Filter
100%
Nonlinear System
100%
Model Structure
60%
Temperature Gradients
60%
Thermal Gradient
60%
Model Parameter
40%
Optimisation Problem
40%
Local Optimum
40%
Output Error
40%
Initial State
40%
Numerical Scheme
40%
Spectral Model
40%
Applicability
20%
Driving Force
20%
Filtration
20%
Pressure Head
20%
Optimisation Procedure
20%
Subprocess
20%
Sampling Frequency
20%
Sensitivity Matrix
20%
Independent Parameter
20%
Covariance Matrix
20%
Taylor Expansion
20%
Linear Combination
20%
Posed Problem
20%
Mathematical Model
20%
Equations of State
20%
Mathematics
Kalman Filtering
100%
Nonlinear System
100%
Identifiability
83%
Design Experiment
83%
Model Structure
50%
Initial State
33%
unique solution φ
33%
Local Optimum
33%
Numerical Scheme
33%
Mathematical Modeling
16%
Linear Combination
16%
Matrix (Mathematics)
16%
Observed Value
16%
Covariance Matrix
16%
Driving Force
16%
Subprocess
16%
Posed Problem
16%
Taylor Expansion
16%
State Equation
16%
Model Description
16%
Time Instant
16%