Related Experiment Video
Updated: Dec 25, 2025

Assembly and Characterization of Biomolecular Memristors Consisting of Ion Channel-doped Lipid Membranes
Published on: March 9, 2019
Exponential synchronization of memristive neural networks with time-varying delays via quantized sliding-mode control
Bo Sun1, Shengbo Wang1, Yuting Cao2
1School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China.
Abstract:
In the paper, exponential synchronization issue is considered for memristive neural networks (MNNs) with time-varying delays via quantized sliding-mode algorithm. Quantized Sliding-mode controller is introduced to ensure the slave system can be exponentially synchronized with the host system via the super-twisting algorithm, which has been proved in the main results. Quantization function consists of uniform quantizer and logarithmic quantizer. Simulation results are given with comparisons between two quantizers in the end.
Related Concept Videos
Neural Regulation
Time-Domain Interpretation of PD Control
Consider the example of control of motor torque. Initially, a positive...
Time and frequency -Domain Interpretation of Phase-lag Control
Phase-lag controllers do not place a pole at zero, but instead influence the steady-state error by amplifying any...
Linear time-invariant Systems
The input-output behavior of an LTI system can be fully defined by its response to an impulsive excitation at its input. Once this impulse response is known, the system's reaction to any other input can be...

