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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.
Subscribe to this Journal via RSS.Editor-in-Chief
Peng Shi
Editor-In-Chief
School of Electrical and Electronic Engineering,
The University of Adelaide, Australia
Articles
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31 December 2021IEEE SYSTEMS, MAN, AND CYBERNETICS SOCIETYPresents a listing of the editorial board, board of governors, current staff, committee members,...
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31 December 2021Cooperative Output Tracking of Unknown Heterogeneous Linear Systems by Distributed Event-Triggered Adaptive ControlThis article addresses the cooperative output tracking problem of a class of linear minimum-phase...
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31 December 2021Solving Sensor Identification Problem Without Knowledge of the Ground Truth Using Replicator DynamicsIn this article, we consider an emergent problem in the sensor fusion area in which unreliable...
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31 December 2021Genetic Programming for Instance Transfer Learning in Symbolic RegressionTransfer learning has attracted more attention in the machine-learning community recently. It aims...
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31 August 2020Deep Reinforcement Learning for Multiagent Systems: A Review of Challenges, Solutions, and ApplicationsReinforcement learning (RL) algorithms have been around for decades and employed to solve various...
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28 February 2021MADNet: A Fast and Lightweight Network for Single-Image Super ResolutionRecently, deep convolutional neural networks (CNNs) have been successfully applied to the...
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30 June 2020Predicting COVID-19 in China Using Hybrid AI ModelThe coronavirus disease 2019 (COVID-19) breaking out in late December 2019 is gradually being...
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31 August 2020Automatically Designing CNN Architectures Using the Genetic Algorithm for Image ClassificationConvolutional neural networks (CNNs) have gained remarkable success on many image classification...
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31 March 2018An Overview of Recent Advances in Event-Triggered Consensus of Multiagent SystemsEvent-triggered consensus of multiagent systems (MASs) has attracted tremendous attention from...
