Finite-Time Nonchattering Synchronization of Coupled Neural Networks With Multi-Weights
Linhao Zhao, Shiping Wen, Zhenyuan Guo, Kaibo Shi, Jianying Xiao, Song Zhu, Tingwen Huang
Abstract
This paper is concerned with finite-time synchronization and finite-time <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> synchronization for coupled neural networks with multiple state/derivative couplings. Firstly, several sufficient conditions are developed to guarantee the finite-time synchronization for these two networks by using some inequality techniques. Secondly, based on the Lyapunov functional, finite-time <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$\mathcal {H}_{\infty }$</tex-math></inline-formula> synchronization problems for those two networks are respectively tackled. Thirdly, nonchattering controllers are designed to overcome the chattering phenomenon appearing in a finite-time controller with the sign function. Finally, two numerical examples are provided to illustrate the effectiveness and correctness of our results.