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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 Connect. Support. Inspire. 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