Journal
NEURAL NETWORKS
Volume 73, Issue -, Pages 86-94Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neunet.2015.10.009
Keywords
Fixed-time synchronization; Finite-time synchronization; Cohen-Grossberg neural network; Discontinuous control; Time-varying delay
Funding
- National Natural Science Foundation of China [61272530, 61573096, 61304168, 61322302]
- Six Talent Peaks of Jiangsu Province of China [2014-DZXX-004]
- 333 Engineering Foundation of Jiangsu Province of China [BRA2015286]
- JSPS Innovation Program [KYZZ15_0051]
- Specialized Research Fund for the Doctoral Program of Higher Education [20130092110017]
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The fixed-time master-slave synchronization of Cohen-Grossberg neural networks with parameter uncertainties and time-varying delays is investigated. Compared with finite-time synchronization where the convergence time relies on the initial synchronization errors, the settling time of fixed-time synchronization can be adjusted to desired values regardless of initial conditions. Novel synchronization control strategy for the slave neural network is proposed. By utilizing the Filippov discontinuous theory and Lyapunov stability theory, some sufficient schemes are provided for selecting the control parameters to ensure synchronization with required convergence time and in the presence of parameter uncertainties. Corresponding criteria for tuning control inputs are also derived for the finite-time synchronization. Finally, two numerical examples are given to illustrate the validity of the theoretical results. (C) 2015 Elsevier Ltd. All rights reserved.
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