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Let us mention, without proof, that the homoclinic saddle-loop bifurcation curve ((mathrm{HOM}_{s}) in Fig. 10) of the Bogdanov–Takens point (BT) at ((A,C =(frac{1}{4},1)) lies between the Andronov Hopf curve (AH) and the parameter line (A=A_{ell}(C =-frac {1}{16}+fraC =-frac ((mathrm{1}{16}+frac{C}{d tends towards this paramathrm{HOM}_{ell}androaches infinitendsee Fig. 10.
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A trend towards an attenuation of this parameter was observed in obese animals that had been treated with BAPN (Fig. 3B,C).
Data-based control design methods most often consist of iterative adjustment of the controller's parameters towards the parameter values which minimize an H2 performance criterion.
However, in the backward uncertainty propagation, one moves in the reverse direction, from the distribution function towards the parameter subspace.
An advantage of the marginal model, demonstrated by Liang and Zeger, is that β and their robust variance are consistent (the estimator converges towards the parameter being estimated as the sample size increases) even when the correlation structure is misspecified.
This uncertainty about parameters can translate into uncertainty about the system behaviour when it has high sensitivity towards those parameters.
This paper is the second part of this work and is devoted to the study of the observer and residual sensitivity towards model parameter variations and noises.
Different methods including analytical, iterative and evolutionary computing algorithms are assessed for their efficacy towards PV parameter estimation.
This emphasizes that there are important (essential) features in the original model that are robust towards single parameter perturbations.
A connected viable volume improves a system's evolvability and allows neutral evolutionary trajectories that may drive the system towards viable parameter points with high local robustness.
We also find that a very sensitive feature of the original model, the threshold described earlier, is robust towards single parameter perturbations.
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