Maintaining synchronization by decentralized feedback control in time delay neural networks with parameter uncertainties
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Updated: Jul 14, 2026

Real-Time Proxy-Control of Re-Parameterized Peripheral Signals using a Close-Loop Interface
Published on: May 8, 2021
Mou Chen1, Chang-Sheng Jiang, Qing-Xian Wu
1Automation College, Nanjing University of Aeronautics and Astronautics, Yu Dao street 29, Nanjing, 210016, China. chenmou@nuaa.edu.cn
Abstract:
A decentralized feedback control scheme is proposed to synchronize linearly coupled identical neural networks with time-varying delay and parameter uncertainties. Sufficient condition for synchronization is developed by carefully investigating the uncertain nonlinear synchronization error dynamics in this article. A procedure for designing a decentralized synchronization controller is proposed using linear matrix inequality (LMI) technique. The designed controller can drive the synchronization error to zero and overcome disruption caused by system uncertainty and external disturbance.
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