caa a22 4500 445361816 CHVBK 20180317142917.0 cr unu---uuuuu 170323e20111201xx s 000 0 eng 10.1007/s11071-010-9927-8 doi (NATIONALLICENCE)springer-10.1007/s11071-010-9927-8 Parameter identification and synchronization ofspatiotemporal chaos in uncertain complex network [Elektronische Daten] [Ling Lü, Le Meng] Synchronization and parameter identification of a unidirectional star-network constructed by discrete spatiotemporal chaos systems with unknown parameters are studied. The synchronization principle of the network and design method of parameter recognition law are introduced. The function to be determined in the parameter recognition law and the range of adjusting parameter are obtained based on Lyapunov stability theory. Not only global synchronization of the network is realized, but also the unknown parameters in spatiotemporal chaos systems at the nodes of the network are identified. Discrete laser spatiotemporal chaos model is taken as each node of the network, and simulation results show the effectiveness of the synchronization principle and parameter recognition law. Springer Science+Business Media B.V., 2011 Synchronization nationallicence Parameter identification nationallicence Complex network nationallicence Spatiotemporal chaos nationallicence Lü Ling College of Physics and Electronic Technology, Liaoning Normal University, 116029, Dalian, China aut Meng Le College of Physics and Electronic Technology, Liaoning Normal University, 116029, Dalian, China aut Nonlinear Dynamics Springer Netherlands 66/4(2011-12-01), 489-495 0924-090X 66:4<489 2011 66 11071 https://doi.org/10.1007/s11071-010-9927-8 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11071-010-9927-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Lü Ling College of Physics and Electronic Technology, Liaoning Normal University, 116029, Dalian, China aut NATIONALLICENCE 700 1- Meng Le College of Physics and Electronic Technology, Liaoning Normal University, 116029, Dalian, China aut NATIONALLICENCE 773 0- Nonlinear Dynamics Springer Netherlands 66/4(2011-12-01), 489-495 0924-090X 66:4<489 2011 66 11071 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer