Wei Kang

Orcid: 0000-0002-5588-6342

Affiliations:
  • Fuyang Normal University, School of Information Engineering, China
  • University of Electronic Science and Technology of China, School of Mathematical Sciences, Chengdu, China


According to our database1, Wei Kang authored at least 12 papers between 2009 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Probabilistic event-triggered protocol for switched power systems under multi-strategy deception attack.
J. Frankl. Inst., November, 2023

Global Prescribed-Time Second-Order Sliding Mode Controller Design Subject to Asymmetric Output Constraint.
IEEE Access, 2023

2021
Asynchronous quantized control of Markovian switching Lur'e systems with event-triggered strategy.
J. Frankl. Inst., 2021

2020
New result on reliable H∞ performance state estimation for memory static neural networks with stochastic sampled-data communication.
Appl. Math. Comput., 2020

InjectionGAN: Unified Generative Adversarial Networks for Arbitrary Image Attribute Editing.
IEEE Access, 2020

2019
A new global robust stability condition for uncertain neural networks with discrete and distributed delays.
Int. J. Mach. Learn. Cybern., 2019

Further improved results on non-fragile <i>H</i><sub>∞</sub> performance state estimation for delayed static neural networks.
Neurocomputing, 2019

2018
Further Results on Reachable Set Bounding for Discrete-Time System with Time-Varying Delay and Bounded Disturbance Inputs.
Complex., 2018

Extended robust global exponential stability for uncertain switched memristor-based neural networks with time-varying delays.
Appl. Math. Comput., 2018

2017
Event-triggered reliable control for Markovian jump systems subject to nonuniform sampled data.
J. Frankl. Inst., 2017

2016
Relaxed passivity conditions for discrete-time stochastic delayed neural networks.
Int. J. Mach. Learn. Cybern., 2016

2009
Robust stability analysis for discrete-time stochastic neural networks systems with time-varying delays.
Appl. Math. Comput., 2009


  Loading...