Maintaining synchronization by decentralized feedback control in time delay neural networks with parameter uncertainties.
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.
Chen
Mou
M
Automation College, Nanjing University of Aeronautics and Astronautics, Yu Dao street 29, Nanjing, 210016, China. chenmou@nuaa.edu.cn
Jiang
Chang-Sheng
CS
Wu
Qing-Xian
QX
Chen
Wen-Hua
WH
D003344:Cortical Synchronization; D016571:Neural Networks, Computer; D017711:Nonlinear Dynamics; D009716:Numerical Analysis, Computer-Assisted; D013995:Time; D035501:Uncertainty