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The convergence behavior and numerical stability of the proposed online algorithm are evaluated by computational simulations in two multiple-input and multiple-output models that represent a fourth order RLC circuit with two input voltages and two controllable voltage levels, and a doubly-fed induction generator with six inputs and six outputs for wind energy conversion systems.
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The model also features increased accuracy and numerical stability.
Results show that method A outperforms method B in physical accuracy and numerical stability.
The accuracy and numerical stability of the analysis are influenced by both spatial and temporal refinement.
In general rules differ by their convergence conditions and their numerical stability, which can lead to very undesirable behavior, when wanting to apply them.
01 a.u., and the numerical stability of the integrator has been checked.
In addition, we present the estimation error and the numerical stability analysis.
As with other numerical situations, two main aspects are the complexity of algorithms and their numerical stability.
In general, centering enhances model interpretability and improves numerical stability by increasing the likelihood that the optimization algorithm converges on the correct solution.
Improved numerical stability and physically plausible behavior can be achieved by this approach.
This method is to treat the linear term implicitly and the nonlinear term explicitly to allow for larger time steps without losing numerical stability and satisfies the requirements for the numerical effectiveness [ 40].
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