Adaptive synchronization of complex networks Export

@article{citeulike:3141635, abstract = {The aim of this paper is to propose and validate numerically a set of novel adaptive strategies for synchronization and consensus of complex networks of dynamical systems. We present both centralized and decentralized strategies where the adaptation law is based on, respectively, global and local information at the network nodes. All the proposed adaptive techniques are then validated using computer simulations on ensembles of two types of oscillators: Kuramoto and R\"{o}ssler. We show that, in both cases, synchronization can be achieved with the adaptive gains reaching asymptotically finite steady-state values.}, author = {De Lellis, P. and Di Bernardo, M. and Sorrentino, F. and Tierno, A.}, citeulike-article-id = {3141635}, citeulike-linkout-0 = {http://dx.doi.org/10.1080/00207160701704580}, citeulike-linkout-1 = {http://www.ingentaconnect.com/content/tandf/gcom/2008/00000085/00000008/art00004}, doi = {10.1080/00207160701704580}, issn = {0020-7160}, journal = {International Journal of Computer Mathematics}, keywords = {adaptation, complex\_networks, kuramoto, network\_theory, synchronization}, month = {August}, number = {8}, pages = {1189--1218}, posted-at = {2009-11-04 11:44:57}, priority = {3}, publisher = {Taylor \& Francis}, title = {Adaptive synchronization of complex networks}, url = {http://dx.doi.org/10.1080/00207160701704580}, volume = {85}, year = {2008} }

TY - JOUR ID - citeulike:3141635 L3 - citeulike-article-id:3141635 N2 - The aim of this paper is to propose and validate numerically a set of novel adaptive strategies for synchronization and consensus of complex networks of dynamical systems. We present both centralized and decentralized strategies where the adaptation law is based on, respectively, global and local information at the network nodes. All the proposed adaptive techniques are then validated using computer simulations on ensembles of two types of oscillators: Kuramoto and Rössler. We show that, in both cases, synchronization can be achieved with the adaptive gains reaching asymptotically finite steady-state values. IS - 8 JF - International Journal of Computer Mathematics SN - 0020-7160 EP - 1218 TI - Adaptive synchronization of complex networks PB - Taylor & Francis VL - 85 SP - 1189 KW - adaptation KW - complex_networks KW - kuramoto KW - network_theory KW - synchronization AU - De Lellis, P AU - Di Bernardo, M AU - Sorrentino, F AU - Tierno, A PY - 2008/08// UR - http://dx.doi.org/10.1080/00207160701704580 ER -