Finite-Time Synchronization for Fuzzy Inertial Neural Networks by Maximum Value Approach
Zhengqiu Zhang, Jinde Cao
Abstract
In this article, the finite-time synchronization of drive-response fuzzy inertial neural networks with delays is considered. Without applying the finite-time stability theorems and integral inequality approach, by using the maximum value approach of functions and designing two kinds of different controllers of time variable <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">t</i> , two criteria ensuring the finite-time synchronization for the drive-response fuzzy inertial neural networks are put forward. In this article, since the maximum value approach of functions is used and the controllers of time variable <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$t$</tex-math></inline-formula> are designed in studying the finite-time synchronization, our approach and results on the finite-time synchronization of neural networks are new.