Adaptive Synchronization of Nonlinearly Parameterized Complex Dynamical Networks with Unknown Time-Varying Parameters. (1st April 2012)

• Record Type: Journal Article
• Authors: Wang, Tengfei; Li, Junmin; Tang, Shu
• Other Names: Liao Teh-Lu Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2012(2012)
• Publication Date: 2012-04-01
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2012/592539
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : A new adaptive learning control approach is proposed for a class of nonlinearly parameterized complex dynamical networks with unknown time-varying parameters. By using the parameter separation and reparameterization technique, the adaptive learning laws of periodically time-varying and constant parameters and an adaptive control strategy are designed to ensure the asymptotic convergence of the synchronization error in the sense of square error norm. Then, a sufficient condition of the synchronization is given by constructing a composite energy function. Finally, an example of the complex network is used to verify the effectiveness of proposed approach.