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- Publisher Website: 10.1016/j.physa.2007.09.019
- Scopus: eid_2-s2.0-36549066802
- WOS: WOS:000251896800032
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Article: Exponential synchronization of complex delayed dynamical networks with general topology
Title | Exponential synchronization of complex delayed dynamical networks with general topology |
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Authors | |
Keywords | Exponential synchronization Complex dynamical network Directed and weighted network Coupling delays Lyapunov functional |
Issue Date | 2008 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa |
Citation | Physica A: Statistical Mechanics and its Applications, 2008, v. 387 n. 2-3, p. 643-652 How to Cite? |
Abstract | The global exponential synchronization of complex delayed dynamical networks possessing general topology is investigated in this contribution. The network model considered can represent both the directed and undirected weighted networks. Novel delay-dependent linear controllers are designed via Lyapunov stability theory and appropriate property of the coupling matrix. It is shown that the controlled networks are globally exponentially synchronized with a given convergence rate. An example of typical dynamical network with coupling delays of this class, having the unified chaotic system at each node, have been used to demonstrate and verify the novel design proposed. The network possesses weighted and directed coupling topology, and the computer simulation showed the effectiveness of the proposed control design. © 2007 Elsevier Ltd. All rights reserved. |
Persistent Identifier | http://hdl.handle.net/10722/213530 |
ISSN | 2023 Impact Factor: 2.8 2023 SCImago Journal Rankings: 0.661 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Liu, T | - |
dc.contributor.author | Dimirovski, GM | - |
dc.contributor.author | Zhao, J | - |
dc.date.accessioned | 2015-08-05T01:54:09Z | - |
dc.date.available | 2015-08-05T01:54:09Z | - |
dc.date.issued | 2008 | - |
dc.identifier.citation | Physica A: Statistical Mechanics and its Applications, 2008, v. 387 n. 2-3, p. 643-652 | - |
dc.identifier.issn | 0378-4371 | - |
dc.identifier.uri | http://hdl.handle.net/10722/213530 | - |
dc.description.abstract | The global exponential synchronization of complex delayed dynamical networks possessing general topology is investigated in this contribution. The network model considered can represent both the directed and undirected weighted networks. Novel delay-dependent linear controllers are designed via Lyapunov stability theory and appropriate property of the coupling matrix. It is shown that the controlled networks are globally exponentially synchronized with a given convergence rate. An example of typical dynamical network with coupling delays of this class, having the unified chaotic system at each node, have been used to demonstrate and verify the novel design proposed. The network possesses weighted and directed coupling topology, and the computer simulation showed the effectiveness of the proposed control design. © 2007 Elsevier Ltd. All rights reserved. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/physa | - |
dc.relation.ispartof | Physica A: Statistical Mechanics and its Applications | - |
dc.subject | Exponential synchronization | - |
dc.subject | Complex dynamical network | - |
dc.subject | Directed and weighted network | - |
dc.subject | Coupling delays | - |
dc.subject | Lyapunov functional | - |
dc.title | Exponential synchronization of complex delayed dynamical networks with general topology | - |
dc.type | Article | - |
dc.identifier.email | Liu, T: taoliu@hku.hk | - |
dc.identifier.authority | Liu, T=rp02045 | - |
dc.identifier.doi | 10.1016/j.physa.2007.09.019 | - |
dc.identifier.scopus | eid_2-s2.0-36549066802 | - |
dc.identifier.volume | 387 | - |
dc.identifier.issue | 2-3 | - |
dc.identifier.spage | 643 | - |
dc.identifier.epage | 652 | - |
dc.identifier.isi | WOS:000251896800032 | - |
dc.publisher.place | Netherlands | - |
dc.identifier.issnl | 0378-4371 | - |