4.7 Article

Synchronization for time-varying complex dynamical networks with different-dimensional nodes and non-dissipative coupling

Journal

Publisher

ELSEVIER
DOI: 10.1016/j.cnsns.2014.12.012

Keywords

Complex dynamical network; Synchronization; Time-varying network; Non-dissipatively coupled; Different nodes

Funding

  1. National Science Foundation of China [61273219, 11172017]
  2. National Science Foundation of Guangdong Province [S2013010015768, 2011010005029]
  3. Project Program of KLGHEI of China [2013CXZDA015]
  4. Specialized Research Fund for the Doctoral Program of Higher Education [20134420110003]

Ask authors/readers for more resources

This paper investigates synchronization for time-varying complex dynamical networks with different-dimensional nodes via decentralized control. The outer coupling configuration matrix (OCCM) in our network model, which represents the coupling strength and the topological structure, can be time-varying, non-dissipatively coupled, asymmetric and uncertain. In addition, the nonlinearly coupled inner state functions are admissible in the network model. The paper mainly focuses on the synthesis of decentralized controllers in two cases for uncertain coupling coefficients in OCCM, respectively. Firstly, the decentralized nonlinear state feedback controllers are synthesised based on the known coupling coefficients common bound. The proposed controllers can guarantee exponential synchronization of the networks. Then, an adaptive mechanism with only one parameter being adjusted online is introduced to synthesize the decentralized adaptive controllers according to the unknown coupling coefficients common bound so that the network realizes asymptotic synchronization. Finally, a numerical example is given to test the effectiveness of the theoretical results. (C) 2014 Elsevier B.V. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available