Related Experiment Video
Updated: Apr 12, 2026

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays
Ping Jiang1, Zhigang Zeng2, Jiejie Chen2
1School of Automation, Huazhong University of Science and Technology, Wuhan 430074, China; School of Computer Science and Technology, Hubei PolyTechnic University, Huangshi 435003, China.
Abstract:
In this paper, we study the existence and global exponential stability of almost periodic solution for memristor-based neural networks with leakage, time-varying and distributed delays. Using a new Lyapunov function method, we prove that this delayed neural network has a unique almost periodic solution, which is globally exponentially stable. Moreover, the obtained conclusion on the almost periodic solution is applied to prove the existence and stability of periodic solution (or equilibrium point) for this delayed neural network with periodic coefficients (or constant coefficients).
Related Concept Videos
Classification of Systems-II
Linear Approximation in Frequency Domain
In contrast, nonlinear systems do not inherently possess these properties. However, for small deviations around an operating point, a nonlinear system can often be approximated as linear....
Resting Potential Decay
At rest, the K+ is the main ion that moves across the membrane...
Resting Potential Decay
Current Growth And Decay In RL Circuits
RC Circuit without Source
Applying Kirchhoff's current law at the top node of the circuit and substituting the current values across the components, a first-order differential equation is obtained. By rearranging the terms...

