Zhang Zhengqiu, Cao Jinde
IEEE Trans Neural Netw Learn Syst. 2019 May;30(5):1476-1485. doi: 10.1109/TNNLS.2018.2868800. Epub 2018 Oct 2.
In this paper, we are concerned with the finite-time synchronization of a class of inertial neural networks with time delays. Without applying some finite-time stability theorems, which are widely applied to studying the finite-time synchronization for neural networks, by constructing two Lyapunov functions and using integral inequality method, two sufficient conditions on the finite-time synchronization for a class of inertial neural networks with time delays are derived. Considering that the method and research results of the finite-time synchronization are different from some existing works, this paper extends the works on the finite-time synchronization of neural networks.
