IEEE Transactions on Cybernetics Publication Information
Table of Contents
IEEE Transactions on Cybernetics Information for Authors
Differential Privacy Enabled Robust Asynchronous Federated Multitask Learning: A Multigradient Descent Approach
Resilient Control Based on Secure State Estimation for Autonomous Systems Under Cyberattacks
Multiple Transformation Matrix-Based Adaptive Projective Vortex Formation Tracking for Multiagent Systems With a Leader of Completely Unknown Input
Multiobjective Privacy-Preserving Task Assignment in Spatial Crowdsourcing
Dynamic Event-Triggered Fault Detection for Markov Jump Systems Under DoS Attacks: A Simulated Annealing Algorithm-Based Optimization Approach
Event-Triggered Global Finite-Time Sliding Mode Control for Impulsive Nonlinear Systems and Its Application to Coupled RDNNs
MFEA-RCIM: A Multifactorial Evolutionary Algorithm for Determining Robust and Influential Seeds From Competitive Networks Under Structural Failures
Topology Design for Edge Sensing and Control: A Dynamic Observability Guaranteed Method
Dynamic Event-Triggered Nonsingular Predefined-Time Tracking Control for Fully Heterogeneous Vehicle Platoon With Spacing Constraints
Distributed Dynamic Event-Triggered Control for Multiagent Systems Under FDI Attack via ESN-Based Adaptive Dynamic Programming
A Novel Edge Laplacian-Based Approach for Adaptive Formation Control of Uncertain Multiagent Systems With Unified Relative Error Performance
NADM: Noise-Aware Diffusion Model for Landscape Painting Video Generation
Lifeisgood: Learning Invariant Features via In-Label Swapping for Generalizing Out-of-Distribution in Machine Fault Diagnosis
Distributed Nash Equilibrium Seeking With a Gradient-Based Event-Triggered Mechanism
Distribution Learning Based on Evolutionary Algorithm-Assisted Deep Neural Networks for Imbalanced Image Classification
Event-Triggered Finite-Time Stabilization of Delayed T–S Fuzzy Systems on Time Scales
Learning Distance Constrained Transformation for Video Tracking in Car-Following
Continuous Graph Learning-Based Self-Adaptation for Multi-Stream Concept Drift
Risk-Sensitive Reinforcement Learning With Exponential Criteria
Dynamic Event-Triggered Output Feedback Separation Design for Networked Control Systems
Decentralized Nonconvex Robust Optimization Over Unsafe Multiagent Systems: System Modeling, Utility, Resilience, and Privacy Analysis
Observer-Based Fixed-Time-Synchronized Control for Uncertain Euler–Lagrange Systems With Bias–Actuator Faults
Causal Intervention Is What Large Language Models Need for Spatio-Temporal Forecasting
Robust Multiobjective Competitive Swarm Optimization Based on Evolutionary Trend Prediction
Event-Triggered Optimal Bipartite Consensus Control for Constrained Multiagent Systems via Internal Reinforce Q-Learning
Controllability of Networked Sampled-Data Systems With Time Delays
Hyper-Heuristic Optimization Using Multifeature Fusion Estimator for PCB Assembly Lines With Linear-Aligned-Heads Surface Mounters
Adaptive Neural Event-Triggered Fault-Tolerant Control for Uncertain Nonlinear Cyber-Physical Systems With Sensor and Actuator Faults Via Triggered Output Feedback
Resilient Collision-Free Distributed Optimal Coordination for Multiple Euler–Lagrangian Systems Under Unreliable Communication Topologies
Index Tracking via Temporally Weighted Least Squares and Gaussian Process Regressions
Discrete Memristive Conservative Chaotic Map: Dynamics, Hardware Implementation, and Application in Secure Communication
Noisy Error-Adaptive Weighting Strategy for Accelerating ILC in Discrete-Time Systems
An Interpretable Quantum Adjoint Convolutional Layer for Image Classification
Self-Adjustable and Flexible Performance-Based Event-Triggered Asymptotic Tracking Control of Nonlinear Systems With Unknown Control Directions
Decentralized Adaptive Secure Control of Nonlinear NCSs Under Hybrid Attacks via Event-Triggering
Spectral-Adaptive Consensus Algorithm for Robust Fault Mitigation in Decentralized Smart Manufacturing Networks
Disturbance Observer-Based Adaptive Chainlike Filter Approach for Prescribed-Time Consensus Tracking of Nonlinear Multiagent Systems via Dynamic State and Input Triggering
A Constructive Approach for Neural Network Approximation Sets in Adaptive Control of Strict-Feedback Systems
Piecewise Constant Tuning Gain-Based Singularity-Free MRAC With Application to Aircraft Control Systems
Low-Complexity Distributed Prescribed Performance Control of Unknown Nonlinear Multiagent Systems Under Switching Topologies
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IEEE SYSTEMS, MAN, AND CYBERNETICS SOCIETY
IEEE Transactions on Cybernetics
Table of Contents
Fixed-Time VFO Control Design for Nonholonomic Mobile Robots With Constrained Control Inputs
Prescribed-Time Fault Estimation and Unknown Input Compensation by Using Periodic Delayed Approach
Neural Networks for On-Chip Model Predictive Control: A Method to Build Optimized Training Datasets and its Application to Type-1 Diabetes