International Journal of Control, Automation and Systems 2018; 16(4): 1558-1568
Published online July 11, 2018
https://doi.org/10.1007/s12555-016-0046-2
© The International Journal of Control, Automation, and Systems
This paper is concerned with the exponential synchronization problem of nonlinearly coupled neural networks with mixed delays. By employing the intermittent control strategy, several appropriate linear and adaptive pinning controllers are designed in each control period. With the help of a new differential inequality, some conditions are proposed to guarantee that the coupled networks can realize pinning synchronization exponentially. The minimum number of pinned nodes is determined by using high-degree pinning scheme. Two numerical examples are provided finally to demonstrate the effectiveness of the theoretical results."
Keywords Coupled neural networks, exponential synchronization, intermittent control, mixed delays, pinning control.
International Journal of Control, Automation and Systems 2018; 16(4): 1558-1568
Published online August 1, 2018 https://doi.org/10.1007/s12555-016-0046-2
Copyright © The International Journal of Control, Automation, and Systems.
Jian-An Wang* and Xin-Yu Wen
Taiyuan University of Science and Technology
This paper is concerned with the exponential synchronization problem of nonlinearly coupled neural networks with mixed delays. By employing the intermittent control strategy, several appropriate linear and adaptive pinning controllers are designed in each control period. With the help of a new differential inequality, some conditions are proposed to guarantee that the coupled networks can realize pinning synchronization exponentially. The minimum number of pinned nodes is determined by using high-degree pinning scheme. Two numerical examples are provided finally to demonstrate the effectiveness of the theoretical results."
Keywords: Coupled neural networks, exponential synchronization, intermittent control, mixed delays, pinning control.
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