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Our method can guarantee that adversarial examples are found for the given region and set of manipulations.
Only the Condorcet method can guarantee to keep the remaining candidates in the same order when other candidates are removed.
It will be shown that this method can guarantee the recursive feasibility and robust stability.
In addition, the proposed control method can guarantee the cost function is the smallest.
The proposed control method can guarantee all the closed-loop signals are bounded.
Previously no method can guarantee all these properties although some methods can achieve some of the properties.
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Furthermore, on the basis of Lyapunov stability analysis, it is also proved that the presented control methods can guarantee that all the closed-loop system error signals are uniformly ultimately bounded.
Moreover, none of the existing methods can guarantee that the obtained ANNs are optimal.
The proposed methods can guarantee fair service in terms of throughput among wireless users either they require the same or different bandwidth.
Deterministic methods can guarantee the location of the global optimum solution; however, their computational cost makes them unfeasible for large-scale problems.
Using this method, we can guarantee that the number of nodes which should be controlled is minimized.
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