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In the following section, we aim to find some sufficient synchronization criteria for synchronizing all the nodes in the switching networks (3) with the target trajectory (pi (t)).
Based on the Lyapunov theorem, some new sufficient synchronization criteria are proposed.
On the basis of the above, some sufficient synchronization criterions are derived in the form of linear matrix inequalities.
By utilizing the Lyapunov Krasovskii functional method, sufficient synchronization criteria are first established in terms of linear matrix inequalities (LMIs).
Using Lyapunov's stability theory, the sufficient synchronization criteria for the scheme are proven and the corresponding synchronization error bound is estimated.
Based on the Lyapunov stability theory and the stochastic theory, the sufficient synchronization conditions are derived and proved theoretically, which are mainly for the controllers to be designed and the noise intensities.
Similar(53)
On the basis of finite time theory, sufficient cluster synchronization criteria are derived.
For a nonuniform surface temperature oscillations of the order of several degrees are not sufficient for synchronization.
Moreover, we derive a sufficient asymptotic synchronization condition for the neural networks with reaction-diffusion terms if reaction-diffusion terms satisfy a weaker condition.
Furthermore, based on the Lyapunov stability method and the Halanay inequality lemma, a delay independent sufficient exponential synchronization condition is derived.
By using the Lyapunov stability theory and the adaptive control method, a sufficient projective synchronization criterion for this neutral-type neural network model is derived.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com