Journal & Article

Cybernetics

I/F
# Journal I/F

IEEE Transactions on Cybernetics

Table of Contents tcyb-cover2-fill-3548830 IEEE Transactions on Cybernetics IEEE Transactions on Cybernetics Z-Number Generation Model and Its Application in a Rule-Based Classification System Data-Driven Inverse Reinforcement Learning for Heterogeneous Optimal Robust Formation Control AdamGraph: Adaptive Attention-Modulated Graph Network for EEG Emotion Recognition A Dynamic Systems Approach to Modeling Human–Machine Rhythm Interaction Adaptive Prescribed-Time Event-Triggered Control of Nonlinear Networked Systems Under Dynamic Quantization A Novel Neural Dynamics Controller for Weakening the Chaos of Permanent Magnet Synchronous Generator and Its Extended Application Privacy for Switched Systems Under MPC: A Privacy-Preserved Rolling Optimization Strategy Finite-Time Stabilizers for Large-Scale Stochastic Boolean Networks A Scalable Test Problem Generator for Sequential Transfer Optimization Robust Model Predictive Control of a Gait Rehabilitation Exoskeleton With Whole Body Motion Planning and Neuro-Dynamics Optimization Force Observer-Based Motion Adaptation and Adaptive Neural Control for Robots in Contact With Unknown Environments Granule Margin-Based Feature Selection in Weighted Neighborhood Systems An Improved Topology Identification Method of Complex Dynamical Networks Predefined Time and Prespecified Precision for Bearing-Constrained AAV Swarm ERMAV: Efficient and Robust Graph Contrastive Learning via Multiadversarial Views Training Dynamic Hierarchical Convolutional Attention Network for Recognizing Motor Imagery Intention A Sliding Mode Control Method With Variable Convergence Rate for Nonlinear Impulsive Stochastic Systems Event-Triggered Almost Output Regulation for Switched T-S Fuzzy Systems Balancing State Exploration and Skill Diversity in Unsupervised Skill Discovery A State Space Model for Multiobject Full 3-D Information Estimation From RGB-D Images Adaptive Predefined Time Control for Stochastic Switched Nonlinear Systems With Full-State Error Constraints and Input Quantization Predictor-Based Feedback Control for Discrete-Time Time-Variant Linear State-Delayed Systems With Distinct Input Delays via State Transition Matrices Industrial Foundation Model An Iterative Greedy Algorithm for Solving a Multiobjective Distributed Assembly Flexible Job Shop Scheduling Problem With Fuzzy Processing Time Resilient Distributed Nash Equilibrium Control for Nonlinear MASs Under DoS Attacks Feasible Policy Iteration With Guaranteed Safe Exploration Multicontact Safety-Critical Planning and Adaptive Neural Control of a Soft Exosuit Over Different Terrains Unsupervised Feature Selection for High-Order Embedding Learning and Sparse Learning Model-Free Algorithms for Cooperative Output Regulation of Discrete-Time Multiagent Systems via Q-Learning Method Reinforcement Learning for H∞ Optimal Control of Unknown Continuous-Time Linear Systems Observer-Based Decentralized Adaptive Control of Interconnected Nonlinear Systems With Output/Input Triggering Secure Consensus for Switched Multiagent Systems Under DoS Attacks: Hybrid Event-Triggered and Impulsive Control Approach Big Data-Driven Control of Nonlinear Processes Through Dynamic Latent Variables Using an Autoencoder Predictive Observer-Based Dual-Rate Prescribed Performance Control for Visual Servoing of Robot Manipulators With View Constraints HATNet: EEG-Based Hybrid Attention Transfer Learning Network for Train Driver State Detection Distributed Edge-Based Nash Equilibrium Seeking With Event-Triggered Quantized Communication Distributed Predefined-Time Convergent Algorithm for Solving Time-Varying Resource Allocation Problem Over Directed Networks Security Control of Safety-Critical Systems A Subspace Search-Based Evolutionary Algorithm for Large-Scale Constrained Multiobjective Optimization and Application Prescribed-Time Bipartite Synchronization for General Linear Multiagent Systems: An Adaptive Dynamic Output-Feedback Strategy Observer-Based Bounded H∞ Control for Shift-Varying Linear Repetitive Processes With Constrained Bit Rates Over a Finite Horizon IEEE Transactions on Cybernetics Table of Contents tcyb-cover2-fill-3548830 Learning-Based Event-Triggered MPC With Gaussian Processes Under Terminal Constraints Co-Training Broad Siamese-Like Network for Coupled-View Semi-Supervised Learning