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The strategy relies on the design of an IMC controller which minimizes a bound on the tracking error, defined as the difference between desired and actual input to the static nonlinearities.
Differently from other approaches that minimize the Euclidean norm and can only handle precisely known systems, the proposed method minimizes a bound to the H2 or H∞ norm of a system that represents the dynamics of the error between the polytopic continuous-time plant and the discrete-time representation.
Softmax-margin is a convex objective for such models that minimizes a bound on expected risk for a given loss function, but its naïve application requires the loss to decompose over the predicted structure, which is not true of F-measure.
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Furthermore, an optimal H2 GC fuzzy controller in the sense of minimizing a bound on the guaranteed cost is provided by means of an LMI optimization procedure.
Controls which minimize the distance function, as in the first order reliability method (FORM), are shown to minimize a bound on the sampling variance of the estimator for the probability of failure.
To avoid this, we minimized a bound on the leave-one-out error with a Quasi-Newton algorithm [45, 46].
It is shown that in order to minimize a bound on the average probability of a symbol vector error, the minimum substream SNR S N R min must be maximized.
As shown above, in order to minimize a bound on the average probability of a symbol vector error, (overline {SNR}^{{text {eff}}}) must be maximized.
The parameter γ for the radial basis function (RBF) kernel, together with the regularization parameter C, and the loss function parameter ε were automatically chosen during SVR function estimation by minimizing a bound on the leave-one-out error.
Based on the linear zero forcing (ZF) receiver, in order to minimize a bound on the average probability of a symbol vector error, a novel effective SNR-based precoding matrix selection criterion and a simplified criterion that are suitable for the proposed MIMO scheme are proposed.
For the limited feedback precoded proposed scheme with linear zero forcing (ZF) receiver, in order to minimize a bound on the average probability of a symbol vector error, a novel effective signal-to-noise ratio (SNR -based precoding matrix SNR -basedcriterion and a simprecodingriterion are proposed.
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Justyna Jupowicz-Kozak
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