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Exact(27)
Fuzzy inequality means it will essentially satisfy that inequality condition.
The inequality condition (3.9) of the theorem guarantees that (3.32).
We derive a linear matrix inequality condition which characterizes a relationship between Runge-Kutta coefficients and the corresponding stability region.
The stability and convergence of the proposed scheme are proved using Schwarz׳s inequality condition and Frobenius norms.
Applying the triangle inequality, condition (3.2), formula (3.5), and estimates (see, e.g., [17]) (3.7).
Excluding this limited case, we obtain the following inequality condition for asymptotic stability: 0 < c < 0.5.
Similar(33)
Furthermore, state observers and bilinear matrix inequality conditions are removed in this paper.
Using matrix inequality conditions on the terminal weighting matrix, the closed-loop system stability is guaranteed.
Similarly, the check nodes can be deactivated when they satisfy some inequality conditions [21].
We present some inequality conditions guaranteeing the existence of positive solutions.
As a result, the dilated inequality conditions of Theorem 3.2 are also satisfied.
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diversity condition
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