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Sensitivity analysis proved robustness of the results.
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Moreover, we prove robustness of recovery under perturbation of the measurements by noise.
In order to prove robustness to parametric variations, a μ-analysis of the control pattern has been conducted.
Moreover, noise was introduced at different SNR values in the measured signal, and performance was evaluated to prove robustness of the proposed system against the background noise.
In Section 2 we give a converse Lyapunov theorem mentioned above, and in Section 3 we prove robustness of exponential dissipativity.
By symmetry, it is sufficient to prove robustness for one fixed k-clique x; for instance, the one with vertices ({1, ldots, k}).
We give a converse Lyapunov theorem and prove robustness of uniform exponential dissipativity with respect to unbounded external perturbations, without assuming being globally Lipschitz in.
For the basic predictor feedback, the availability of the Lyapunov function also allows us to prove robustness to small delay mismatch (in both positive and negative directions).
Different communication channel models are used in the validation stage to further prove robustness of the proposed methodology with respect hard delay and packets losses.
While results prove robustness of the compromise effect even in the binding choice context, its magnitude is significantly reduced, hence indicating a hypothetical bias.
Then experimental evaluation of the butt joint of laminated BSCCO 2223 cable was carried out to prove robustness against heat generation at jointing parts at liquid nitrogen temperature and several hundred amperes.
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