Ieee Transactions on Cybernetics
Overview
The IEEE Transactions on Cybernetics is a scholarly journal that focuses on the interdisciplinary field of cybernetics, encompassing the study of control and communication in both biological and artificial systems. It publishes high-quality research articles, reviews, and surveys that explore the theoretical foundations, methodologies, and applications of cybernetics in various domains, including robotics, machine learning, bioinformatics, and social systems.
Details
Details
Abbr.
IEEE Trans Cybern
Start
2013
End
Continuing
Frequency
Six issues yearly
p-ISSN
2168-2267
e-ISSN
2168-2275
Country
United States
Language
English
Specialty
Biomedical Engineering
Metrics
Metrics
h-index / Ranks: 872
185
SJR / Ranks: 211
5641
CiteScore / Ranks: 276
22.30
JIF / Ranks: 338
11.8
Recent Articles
1.
Golmisheh F, Shamaghdari S
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40085449
This article presents novel data-driven inverse reinforcement learning (IRL) algorithms to optimally address heterogeneous formation control problems in the presence of disturbances. We propose expert-estimator-learner multiagent systems (MASs) as independent...
2.
Liu Q, Mao J, Han L, Zhang C, Yang J
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40085448
This article simultaneously addresses the dual-rate and view constraints issues for the image-based visual servoing (IBVS) system of robot manipulators. Considering the low sampling bandwidth of the camera, potentially diminishing...
3.
Liu Y, Yang W, Su C, Luo Y, Wang X
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40072868
This article deals with the observer-based control problem of networked periodic piecewise systems under encoding-decoding frameworks. An encoder with a uniform quantizer, which can compress and encrypt data, is provided...
4.
Gao C, Zhou J, Wang X, Pedrycz W
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40072867
Neighborhood rough sets are an effective model for handling numerical and categorical data entangled with vagueness, imprecision, or uncertainty. However, existing neighborhood rough set models and their feature selection methods...
5.
Ren L, Wang H, Dong J, Jia Z, Li S, Wang Y, et al.
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40067728
Recently, foundation models (such as ChatGPT) have emerged with powerful learning, understanding, and generalization abilities, showcasing tremendous potential to revolutionarily promote modern industry. Despite significant advancements in various fields, existing...
6.
Zhang Z, Song Y, Zheng X, Chen L, Ioannou P
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40067727
In this article, a double-channel event-triggered control method is developed for nonlinear uncertain interconnected systems using backstepping techniques, which introduces event-triggering mechanisms at both the sensor and controller sides. Using...
7.
Xu L, Li Z, Li G, Jin L
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40067726
Conventional lower limb exoskeletons (LLEs) and their corresponding rehabilitation protocols can hardly provide safe and customizable gait rehabilitation training for different patients and scenarios. Thus, this study presents an 8-DoF...
8.
Yang Y, Sui S, Liu T, Chen C
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40063427
A neural network adaptive quantized predefined-time control problem is studied for switching stochastic nonlinear systems with full-state error constraints under arbitrary switching. Unlike previous research on rapid convergence, the predefined-time...
9.
Li L, Xiao L, Zuo Q, Tan P, Wang Y
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40053666
The permanent magnet synchronous generator (PMSG) system becomes unstable when unpredicted chaos appears, and current approaches do not take how to lessen this chaos phenomenon into account. Motivated by the...
10.
Narayanan G, Karthikeyan R, Lee S, Ahn S
IEEE Trans Cybern
. 2025 Mar;
PP.
PMID: 40053665
The main objective of this study is to develop an intelligent, resilient event-triggered control method for fractional-order multiagent networked systems (FOMANSs) using reinforcement learning (RL) to address challenges resulting from...