Chen Mou, Jiang Chang-Sheng, Wu Qing-Xian, Chen Wen-Hua
Automation College, Nanjing University of Aeronautics and Astronautics, Yu Dao street 29, Nanjing, 210016, China.
Int J Neural Syst. 2007 Apr;17(2):115-22. doi: 10.1142/S0129065707000981.
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.
提出了一种分散反馈控制方案，用于使具有时变延迟和参数不确定性的线性耦合相同神经网络同步。本文通过仔细研究不确定的非线性同步误差动态，得出了同步的充分条件。提出了一种使用线性矩阵不等式（LMI）技术设计分散同步控制器的方法。所设计的控制器可以将同步误差驱动到零，并克服由系统不确定性和外部干扰引起的破坏。
