This paper is concerned with the analysis of the synchronization of networks of nonlinear oscillators through an innovative local adaptive approach. In particular, time-varying feedback coupling gains are considered, whose gradient is a function of the local synchronization error over each edge in the network. It is shown that, under appropriate conditions, the strategy is indeed successful in guaranteeing the achievement of a common synchronous evolution for all oscillators in the network. The theoretical derivation is complemented by its validation on a set of representative examples.
Novel decentralized adaptive strategies for the synchronization of complex networks / DE LELLIS, Pietro; DI BERNARDO, Mario; Garofalo, Francesco. - In: AUTOMATICA. - ISSN 0005-1098. - STAMPA. - 45:5(2009), pp. 1312-1318. [10.1016/j.automatica.2009.01.001]
Novel decentralized adaptive strategies for the synchronization of complex networks
DE LELLIS, PIETRO
;DI BERNARDO, MARIO;GAROFALO, FRANCESCO
2009
Abstract
This paper is concerned with the analysis of the synchronization of networks of nonlinear oscillators through an innovative local adaptive approach. In particular, time-varying feedback coupling gains are considered, whose gradient is a function of the local synchronization error over each edge in the network. It is shown that, under appropriate conditions, the strategy is indeed successful in guaranteeing the achievement of a common synchronous evolution for all oscillators in the network. The theoretical derivation is complemented by its validation on a set of representative examples.| File | Dimensione | Formato | |
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