Scope
The scope of the IEEE Transactions on Cybernetics includes computational approaches to the field of cybernetics. Specifically, the transactions welcomes papers on communication and control across machines or between machine, human, and organizations. The scope includes such areas as computational intelligence, computer vision, neural networks, genetic algorithms, machine learning, fuzzy systems, cognitive systems, decision making, and robotics, to the extent that they contribute to the theme of cybernetics or demonstrate an application of cybernetics principles.
IEEE Transactions on Cybernetics replaced the IEEE Transactions on Systems, Man, and Cybernetics Part B: Cybernetics on January 1, 2013.
Editor-in-Chief
Peng Shi
Editor-In-Chief
School of Electrical and Electronic Engineering,
The University of Adelaide, Australia
Articles
25 May 2026
In this article, the problem of collision avoidance coordination for heterogeneous multiagent systems (MASs) subject to independent denial-of-service (DoS) attacks is investigated. Unlike the traditional attack model, the challenge posed by independent DoS attacks lies in their ability to disrupt communication channels individually, thereby causing each agent to perceive the...
17 August 2026
This article develops a practical fixed-time tracking control framework for a class of strict-feedback nonlinear systems subject to unknown external disturbances. A fixed-time disturbance observer (FxTDO) is first designed to reconstruct the disturbances together with their higher-order derivatives within a uniform settling time whose upper bound is independent of the...
14 August 2026
As deep learning (DL) performs remarkably in pattern recognition from complex data, it is used to interpret user intentions from electroencephalography (EEG) signals. However, the DL models trained on EEG datasets have low generalization ability owing to numerous noisy samples in datasets. Therefore, prior research has focused on distinguishing and...
05 August 2026
This article investigates coordinated velocity tracking control for heterogeneous permanent magnet linear motors (PMLMs) under actuator faults and denial-of-service (DoS) attacks. Parameter heterogeneity, actuator degradation, and communication failures jointly threaten system stability and tracking accuracy. A prescribed-time performance-based hierarchical resilient adaptive data-driven control strategy is proposed to solve the formulated...
05 August 2026
In the context of fault diagnosis in smart manufacturing, fault decoupling has become a critical component, enabling systems to distinguish between various sources of anomalies, such as actuator faults, sensor faults, and external disturbances. This article proposes a joint state and fault estimation for linear time-invariant (LTI) systems affected by...
02 July 2026
This article proposes a novel adaptive backstepping control strategy for nonlinear systems subject to mismatched uncertainties under both dynamic input and state quantization, achieving global asymptotic convergence of the output. Compared to existing research in this field, the innovations of this work lie in: 1) achieving global instead of semi-global...
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