Models were first developed using COpasi [ 26] and later imported in the MATLAB toolbox SBML-SAT [ 22] for further simulations, robustness analysis and plotting.
The third simulation tests robustness of the direction finding performances of the estimators to corrupting noise.
Results of Monte Carlo simulation show robustness of the model.
We will address three issues by simulation: (1) robustness, (2) efficiency and (3) case definition.
Corrections of the variance inflation factor to allow for cluster size inequality evaluated by simulation and robustness of these corrections to misspecification of the ICC is assessed.
To address the second limitation of the traditional approach, a sensitivity analysis function, medsens, allows for investigators to examine, through simulations, the robustness of their findings to potential unmeasured M-Y confounders.
Design of a direct MRAC, whose controller gains are continuously adjusted to accommodate changes in process dynamics and disturbances, is investigated, including simulation-based robustness analysis of the adaptation law and a consideration of constrained estimation in the recursive least squares algorithm to address practical implementation issues.
The simulations show robustness with all trajectories converging to limit cycles of period 1 (results not shown).
Our estimation (1, 2) approaches were investigated extensively by computer simulations for robustness, statistical properties and different designs (1, 2, 26), while many of these issues imperatively await studies for the other estimation methods (16- 18, 27, 47).
The described improvement consisted of in-silico simulation of practical robustness testing procedures thus had the advantage of modeling design spaces with higher confidence in estimated of method robustness.
