Finite-time lag projective synchronization of nonidentical fractional delayed memristive neural networks

作者：Wang, Guan; Ding, Zhixia^*; Li, Sai; Yang, Le; Jiao, Rui

来源：JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, 2022, 359(18): 10653-10675.

DOI：10.1016/j.jfranklin.2022.09.025

• SLIDING-MODE CONTROL
• CHAOTIC SYSTEMS
• VARYING DELAYS
• DESIGN
• STABILITY
• STABILIZATION
• CRITERIA

Without considering identical systems, this paper investigates the finite-time lag projective synchronization of nonidentical fractional delayed memristive neural networks (FDMNN) by designing a novel fractional sliding mode controller (SMC). Due to the existence of memristor, the research is under the framework of Filippov solution. We firstly construct a fractional integral sliding mode surface (SMS). Based on sliding mode control theory and Lyapunov stability theorem, a novel fractional SMC is proposed to realize the lag projective synchronization of nonidentical FDMNN in finite time, and the synchronization setting time is less conservative than the existing results. As the special cases, some sufficient conditions are extended to projective synchronization, lag synchronization, anti-lag synchronization of nonidentical FDMNN in finite time, which improve and enrich some existing results. At last, a simulation example is given to prove the validity of the conclusions.

• 单位
  武汉工程大学