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Updated: Apr 19, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Finite-time synchronization control of a class of memristor-based recurrent neural networks
Minghui Jiang1, Shuangtao Wang1, Jun Mei2
1College of Science, China Three Gorges University, Yichang, Hubei 443002, China.
Abstract:
This paper presents a global and local finite-time synchronization control law for memristor neural networks. By utilizing the drive-response concept, differential inclusions theory, and Lyapunov functional method, we establish several sufficient conditions for finite-time synchronization between the master and corresponding slave memristor-based neural network with the designed controller. In comparison with the existing results, the proposed stability conditions are new, and the obtained results extend some previous works on conventional recurrent neural networks. Two numerical examples are provided to illustrate the effective of the design method.
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