Sentence examples for consensus condition from inspiring English sources

A bound of the largest singular value of the perturbation matrix is obtained as the robust consensus condition.

It is shown that the consensus condition depends on the parameters of sampling period, Laplacian matrix, and event-triggered parameter.

By utilizing the Lyapunov Krasovskii approach, the bounded consensus condition with the estimate of the tracking error bound is derived.

Based on the generalized Riccati equation and Lyapunov admissible theory, a sufficient admissible consensus condition is established for the descriptor multi-agent systems.

Aggregation of experts' opinion in this step, FDM is used to aggregate the decision makers' given weights to each criteria and obtain a mean fuzzy weight under consensus condition.

It uses a FDM to adjust the fuzzy weighting by every expert to achieve the consensus condition, which obtains the important weight of the criteria by using the ten decision-makers; it is shown as Table 10.

By choosing polynomial Lyapunov function, the consensus conditions are derived and finally they converted to sum-of-squares (SOS) terms.

Based on the frequency-domain analysis, decentralized consensus conditions are obtained for the multi-agent system with symmetric coupling weights.

Based on model transformation, sufficient consensus conditions are developed and the desired consensus controllers are designed such that the extended dissipative performance can be achieved.

By using frequency-domain analysis, consensus conditions are obtained for the agents without communication delay under undirected and directed topologies, respectively.

By applying Gershgorin disc theorem and curvature theory, decentralized consensus conditions for the multi-agent systems with asymmetric coupling weights are obtained.