Journal
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS
Volume 32, Issue 5, Pages 2117-2128Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TNNLS.2020.2997195
Keywords
Synchronization; Couplings; State feedback; Delays; Adaptive control; Adaptation models; Adaptive control; coupled neural networks (CNNs); finite-time output synchronization; output coupling
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Funding
- National Natural Science Foundation of China [61773285]
- Natural Science Foundation of Tianjin, China [19JCYBJC18700]
- Tianjin Talent Development Special Support Program for Young TopNotch Talent
- Fundamental and Frontier Research Project of Chongqing [cstc2018jcyjAX0144]
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This article focuses on the finite-time output synchronization problem for undirected and directed coupled neural networks with output coupling, proposing several synchronization criteria and developing coupling-weight adjustment strategies to ensure the synchronization. Two numerical examples are provided to demonstrate the effectiveness of the theoretical results.
This article focuses on the finite-time output synchronization problem for undirected and directed coupled neural networks with output coupling (CNNOC). Based on the designed state feedback controllers and some inequality techniques, we present several finite-time output synchronization criteria for these network models. In addition, two kinds of coupling-weight adjustment strategies are also developed to guarantee the finite-time output synchronization of undirected and directed CNNOC. Finally, two numerical examples are also provided to demonstrate the effectiveness of the theoretical results.
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