This paper is dedicated to fixed-time anti-synchronization (FXTAS) and preassigned-time synchronization (PATS) of discontinuous fuzzy inertial neural networks with mixed time-varyingdelays. Different from the traditi...
详细信息
This paper is dedicated to fixed-time anti-synchronization (FXTAS) and preassigned-time synchronization (PATS) of discontinuous fuzzy inertial neural networks with mixed time-varyingdelays. Different from the traditional continuous neural network model, the differential inclusion theory is utilized to deal with discontinuous systems. Then, based on Lyapunov stability theory, two operational and efficient pure power-law control schemes are designed to ensure FXTAS and PATS. PATS is more flexible than fixed-time synchronization because its settling-time can be set in advance according to the actual situation. Finally, two numerical simulations are given to confirm the consistency with the theoretical results obtained in this paper.
暂无评论