Related Experiment Video
Updated: Jun 29, 2025

Closed-loop Neuro-robotic Experiments to Test Computational Properties of Neuronal Networks
Published on: March 2, 2015
Fixed-Time Aperiodic Intermittent Control for Quasi-Bipartite Synchronization of Competitive Neural Networks
Shimiao Tang1, Jiarong Li1, Haijun Jiang2
1College of Mathematics and System Science, Xinjiang University, Urumqi 830017, China.
Abstract:
This paper concerns a class of coupled competitive neural networks, subject to disturbance and discontinuous activation functions. To realize the fixed-time quasi-bipartite synchronization, an aperiodic intermittent controller is initially designed. Subsequently, by combining the fixed-time stability theory and nonsmooth analysis, several criteria are established to ensure the bipartite synchronization in fixed time. Moreover, synchronization error bounds and settling time estimates are provided. Finally, numerical simulations are presented to verify the main results.
Related Concept Videos
Reinforcement Schedules
Once a behavior is learned,...
Classification of Systems-II

