期刊
IEEE TRANSACTIONS ON CYBERNETICS
卷 51, 期 12, 页码 6041-6053出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TCYB.2020.2964592
关键词
Adaptive control; coupled neural networks; finite-time H-infinity output synchronization; finite-time output synchronization; multiple output couplings
类别
资金
- National Key Research and Development Program of China [2018AAA0101400]
- National Natural Science Foundation of China [61773285]
- Tianjin Talent Development Special Support Program for Young Top-notch Talent
- National Natural Science Foundation for Distinguished Young Scholars of China [61625302]
- Natural Science Foundation of Tianjin, China [19JCYBJC18700]
- Qatar National Research Fund (a member of Qatar Foundation) [NPRP 9-166-1-031]
- Fundamental and Frontier Research Project of Chongqing [cstc2018jcyjAX0144]
This article investigates finite-time output synchronization and H-infinity output synchronization problems for coupled neural networks. Criteria and a coupling-weight adjustment scheme are proposed to ensure synchronization, and their effectiveness is verified through numerical examples.
This article investigates the finite-time output synchronization and H-infinity output synchronization problems for coupled neural networks with multiple output couplings (CNNMOC), respectively. By choosing appropriate state feedback controllers, several finite-time output synchronization and H-infinity output synchronization criteria are proposed for the CNNMOC. Moreover, a coupling-weight adjustment scheme is also developed to guarantee the finite-time output synchronization and H-infinity output synchronization of CNNMOC. Finally, two numerical examples are given to verify the effectiveness of the presented criteria.
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