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In the case of structural non-identifiability, the identifiable parameter combinations can be determined, while, in the case of practical non-identifiability, this method can provide suggestions for experimental design (i.e. initial condition, constant control signals, and noise-free datasets) so as to remedy the non-identifiability.
To this end, a methodology based on model simulations is used that employs three statistical methods: (i) Monte-Carlo procedure: to find proper initial conditions, (ii) Identifiability analysis: to find an identifiable parameter subset of the fuzzy controller and (iii) minimization algorithm: to fine-tune the identifiable parameter subset of the controller.
Confidence limits are derived for the identifiable parameter combinations and the practical identifiability assessed with the aid of trajectory sensitivity analysis.
The identifiability analysis ranks k5 as the least identifiable parameter with a corresponding eigenvalue of 6.9 · 10-7 (step 2).
Since the identifiability analysis ranks parameter kd5 as the least identifiable parameter, we attempt to simplify the reactions that are affected by kd5.
A higher identifiable parameter can reduce model uncertainty and is critical for evaluating the effects of climate change and land use disturbance on the hydrological cycles.
Similar(36)
We also identify particular combinations of identifiable parameters.
We also identify particular forms of identifiable parameters.
We have shown that the previous results on parameter identifiability can be generalized to much larger classes of quasi-biological carcinogenesis model, and also identify particular combinations of identifiable parameters.
Moreover, the explicit forms of SLMBSSs identifiable parameters are derived by analyzing the identifiability characteristics of the robot.
No identifiable parameters were investigated or recorded.
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