On Predefined-Time Projective Synchronization of Fuzzy Inertial Neural Networks
Ting Liu, Peng Liu, Hangjun Che, Jian Yong, Peizhao Yu, Ting Lei · 2023
This paper explores the projective synchronization of fuzzy inertial neural networks within predefined-time. An effective control strategy is proposed by means of a time-dependent scaling function. Sufficient criteria are derived rigorously for implementing the projective synchronization of fuzzy inertial neural networks within predefined-time. Particularly, when the projective coefficient is chosen as 1 or −1, the criteria of predefined-time complete and anti-synchronization of fuzzy inertial neural networks as a corollary are also provided. A numerical example is given to demonstrate the correctness of results in this paper.