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
31 July 2025
The present research addresses the issue of fixed-time (FxT) command filtered adaptive tracking control for a class of NS subject to TVID and error/state constraints. First, based on the existing FxTC-nps theory, we present two new FxT stability lemmas, affording less conservative and more exact upper-bound estimates (UBEs) for the...
30 July 2025
Effective fault diagnosis is crucial for maintaining the reliability and safety of industrial systems. Incremental learning, which enables models to continuously update and adapt to new data or emerging fault classes without complete retraining, has recently gained attention as a promising solution for addressing nonstationary data streams in fault diagnosis...
30 July 2025
The control of a humanoid robot equipped with one arm and multiple fingers, designed primarily for grasping and manipulating various objects, is investigated. Synchronizing the movements of the fingers is a challenging task, as each joint must reach the desired angle simultaneously to ensure a firm grasp. The success of...
24 July 2025
human-object interaction (HOI) detection tackles the problem of joint localization and classification of HOIs. Recent HOI detection methods are mainly based on transformer networks, where the explicit priors at the object level (e.g., scene layout, object appearance, or category) are usually fed into the transformer to improve the object query...
22 July 2025
In this article, a novel energy-efficient control method for waypoint tracking of underwater gliders is designed. The method can be divided into a planning layer and a control layer. In the planning layer, a novel steady/unsteady gliding depth intervals-based dead-reckoning is proposed to predict depth-averaged current velocity with lower consumption....
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