New synchronization criteria for memristor-based networks: Adaptive control and feedback control schemes

• DOI: 10.1016/j.neunet.2014.08.015
• Publication Date: 2014-09-08T12:41:46Z
• Authors: Ning Li; Jinde Cao
• Keywords: Nonlinear Dynamics; 0202 electrical engineering, electronic engineering, information engineering; Neural Networks, Computer; 02 engineering and technology; Algorithms; Feedback

In this paper, we investigate synchronization for memristor-based neural networks with time-varying delay via an adaptive and feedback controller. Under the framework of Filippov's solution and differential inclusion theory, and by using the adaptive control technique and structuring a novel Lyapunov functional, an adaptive updated law was designed, and two synchronization criteria were derived for memristor-based neural networks with time-varying delay. By removing some of the basic literature assumptions, the derived synchronization criteria were found to be more general than those in existing literature. Finally, two simulation examples are provided to illustrate the effectiveness of the theoretical results.