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The error performance is derived using the well-known union bounding technique.
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For each configuration, the performance was derived using the best insertion penalty, as outlined in Section 3.5.
W is derived using the truncated method.
Furthermore to ensure stable control performance, the tuning laws of the consequent parameters are derived using the projection algorithm and Lyapunov stability theorem.
Data were derived using the Danger Assessment.
In Section 4, the BER performance of the proposed algorithm is derived using Monte-Carlo simulation and it is compared with alternative algorithms and theoretical lower bound.
In order to further increase the performance of the controller, a modified objective function is derived using Integral Time multiply Absolute Error (ITAE), damping ratio of dominant eigenvalues, settling times of frequency and peak overshoots with appropriate weight coefficients.
The TC, which is expressed as the sum of PDC and BUC, is derived using Equations (1-9) and is used for the performance comparisons.
The first inequality is derived using (9).
Some of the important performance indices are derived using generating functions in various categories.
As shown in Table 5, similar RD performance and complexity reduction are derived using a different training set.
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