Transactions on Cybernetics

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
Peng Shi
Editor-In-Chief 
School of Electrical and Electronic Engineering,
The University of Adelaide, Australia

Articles

20 July 2026
null...
20 July 2026
null...
22 April 2026
With the rapid development of neural networks, strip steel surface defect detection, as an important task in computer vision, has achieved remarkable progress. However, state-of-the-art methods still face a tradeoff between accuracy and efficiency. High-performing models are usually large and computationally expensive, whereas lightweight models often suffer from limited detection...

See more at IEEE Xplore

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...
05 June 2026
This article investigates the prescribed-time fault-tolerant cooperative control problem for second-order nonlinear heterogeneous multiagent systems (MASs) subject to multiple actuator faults. A novel prescribed-time stability criterion, independent of time-varying gain functions, is established to facilitate convergence analysis. Fuzzy neural networks (FNNs) are employed to approximate the unknown heterogeneous nonlinear dynamics,...
28 May 2026
High penetration of inverter-based renewables introduces pronounced volatility and heterogeneity to power systems. Coordinating heterogeneous frequency regulation units (FRUs) for robust load frequency control (LFC) remains challenging due to their disparate dynamics and capacities. To improve the frequency regulation capability of FRUs, an adaptive fractional-order error-based active disturbance rejection control...
14 April 2026
In this article, a prescribed-time output feedback controller is proposed for a class of uncertain nonlinear systems with unknown control coefficients and mismatched nonvanishing disturbances. Both unknown control coefficients and mismatched disturbances are tricky to address by the existing prescribed-time output feedback control frameworks. Differently, a novel prescribed-time control criterion...
23 March 2026
In this article, an adaptive distributed predefined-time and bounded (PTB) sliding mode controller based on a novel super-twisting-like estimator is proposed for the formation control problem of underactuated uncrewed surface vehicles (USVs) subject to unknown disturbances. To leverage the advantages of the super-twisting estimator and achieve ultimate PTB stability in...

See more at IEEE Xplore