- Advanced Memory and Neural Computing
- Neural Networks Stability and Synchronization
- stochastic dynamics and bifurcation
- Distributed Control Multi-Agent Systems
- Neural dynamics and brain function
- Energy Efficient Wireless Sensor Networks
- Neural Networks and Applications
China University of Mining and Technology
2022-2024
Applying the event-triggered control, this paper discusses finite-time synchronization issue of quaternion-valued memristive neural networks (QVMNNs) with time-varying delays. By employing improved one norm and sign function quaternion, QVMNNs can be analyzed as an entirety without any decomposition. To relieve communication pressure, a proper controller is designed, then conditions some criteria are also established to guarantee synchronization. Moreover, time estimated by direct analysis,...
This brief studies the hyper-exponential stabilization of neural networks (NNs) by event-triggered impulsive control, where impulse instants are determined conditions. In presence actuation delay, an control scheme is devised. For reducing sampling task continuous detection, a periodic-detection also introduced. Within these frameworks, occurrence Zeno behavior rigorously precluded, and some criteria formulated to achieve system with convergence rate. Moreover, numerical simulation provided...