Neural Networks ( IF 6.0 ) Pub Date : 2020-10-16 , DOI: 10.1016/j.neunet.2020.10.007 Shao Shao , Xiaoyang Liu , Jinde Cao
This paper considers the prespecified-time synchronization issue of switched coupled neural networks (SCNNs) under some smooth controllers. Different from the traditional finite-time synchronization (FTS), the synchronization time obtained in this paper is independent of control gains, initial values or network topology, which can be pre-set as to the task requirements. Moreover, unlike the existing nonsmooth or even discontinuous FTS control strategies, the new proposed control protocols are fully smooth, which abandon the common fractional power feedbacks or signum functions. Finally, two illustrative examples are provided to illustrate the effectiveness of the theoretical results.
中文翻译:
通过平滑控制器的开关耦合神经网络的预定时间同步
本文考虑了某些平滑控制器下的开关耦合神经网络(SCNN)的预定时间同步问题。与传统的有限时间同步(FTS)不同,本文获得的同步时间与控制增益,初始值或网络拓扑无关,可以根据任务要求预先设置。此外,与现有的不平滑甚至不连续的FTS控制策略不同,新提出的控制协议是完全平滑的,放弃了常见的分数功率反馈或符号函数。最后,提供了两个说明性的例子来说明理论结果的有效性。