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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
C. L. Philip Chen
Editor-In-Chief
School of Computer Science and Engineering,
South China University of Technology, Guangzhou, 510641, China, and Faculty of Science and Technology, University of Macau, Macau, China.
Articles
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31 May 2020IEEE Transactions on CyberneticsPresents a listing of the editorial board, board of governors, current staff, committee members,...
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31 May 2020Summation Detector for False Data-Injection Attack in Cyber-Physical SystemsIn this paper, from the perspectives of defenders, we consider the detection problems of false...
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31 May 2020Online Reinforcement Learning Control for the Personalization of a Robotic Knee ProsthesisRobotic prostheses deliver greater function than passive prostheses, but we face the challenge of...
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31 May 2020Unified Graph-Based Multicue Feature Fusion for Robust Visual TrackingVisual tracking is a complex problem due to unconstrained appearance variations and a dynamic...
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31 May 2019Ant Colony Stream Clustering: A Fast Density Clustering Algorithm for Dynamic Data StreamsA data stream is a continuously arriving sequence of data and clustering data streams requires...
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31 May 2017A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion RecognitionThis paper proposes a facial expression recognition system using evolutionary particle swarm...
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06 June 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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31 March 2020Robust Formation Control for Multiple Quadrotors With Nonlinearities and DisturbancesIn this paper, the robust formation control problem is investigated for a group of quadrotors....
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30 September 2016Genetic Learning Particle Swarm OptimizationSocial learning in particle swarm optimization (PSO) helps collective efficiency, whereas...
