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Integrating Deep Model-Based Learning With Modular State-Based Stackelberg Games for Self-Optimizing Distributed Production Systems Social Informer: Pedestrian Trajectory Prediction by Informer With Adaptive Trajectory Probability Region Optimization Over the Edge of Chaos? Excess Complexity as a Roadblock to Artificial General Intelligence Fully-Distributed Neural-Network-Based Approaches for Monotonic Game With Finite-Time Disturbance Rejection Variable Threshold-Oriented Event-Triggered Cluster Consensus for Groups of Multiagent Systems A Progressive Semi-Distillation Model for Dual-Source Remote Sensing Image Classification Learning-Based Fault-Tolerant Optimal Formation Control of Helicopters: An Incremental Fully Actuated System Approach Model-Free Output Regulation of Networked Systems Under Unknown Hybrid Attacks Fuzzy Adaptive Multitask Optimization Prescribed-Time Optimal Formation Control Using Fuzzy Reinforcement Learning for Second-Order Multiagent Systems Error Estimation for Quasi-Synchronization of Multilayer Dynamical Networks: A Pinning Delayed Impulsive Control Scheme A Constrained Learning-Based Competitive Swarm Optimizer for Large-Scale Multiobjective Optimization Data-Driven Control for Local Stabilization of Neural Networks Subject to Input Saturation: A Memory-Type Event-Triggered Method Conflict Constrained Control for Switched Multiagent Systems With Nonaffine Nonlinear Faults and Uncertainties Achieving Constrained Optimization Digraphs Within Preset-Time via Integral Sliding Mode Control Dynamic Regret of Quantized Distributed Online Bandit Optimization in Zero-Sum Games Statistic Discrepancy Oriented Cyclo-Non-Stationary Indicator for Wind Turbine Condition Monitoring Under Varying Speed Conditions Distributed Approximate Aggregative Optimization of Unknown Pure-Feedback Systems With Sampled Neighbor Information Robust Nonfragile Consensus Control of MASs With Controller Gain Perturbations and Switching Directed Networks Improving Question Embeddings With Cognitive Representation Optimization for Knowledge Tracing Policy-Iteration-Based Asynchronous Control of Jump Systems With Hidden Mode Observation and H∞ Disturbance Attenuation Event-Triggered Consensus Tracking for Multiagent Systems With Unknown Time-Varying Control Directions and Input Delays Robust Consensus of Constrained AUVs With Non-Uniform Time-Varying Delays and Disturbances Prespecified-Performance-Driven Triggering Consensus of Nonlinear Multiagent Systems With Unknown Actuator Faults Multipeeling of Homogeneous Stationarity and Heterogeneous Nonstationarity With Differentiated Learning for Process Monitoring State Estimation for Nonlinear Cyber-Physical Systems With Sensor Failures and Token Bucket Protocol Under False Data Injection Attacks Solvability and Normalization of General Singular Boolean Networks via Admissible and Normal Initial State Sets Learning Contrastive Evolving Micro-Clusters for Robust Semi-Supervised Data Stream Classification Suction Cup-Type Prescribed Performance Fault-Tolerant Fuzzy Control for Nonlinear Systems Considering Actuator Power PSO-Algorithm-Assisted Attack-Compensated Control for 2-D Fuzzy Systems Under Cyber Attacks Practically Time-Synchronized Command Filtered Backstepping Control of Nonlinear Systems Dual-Link Coded Event-Triggered Control for Nonlinear Multiagent Systems Composite Anti-Disturbance Control for Networked Systems With Disturbances and Actuator Attacks via Event-Triggered Output Feedback Predefined-Time Safe Cooperative Control for Multiagent Systems With Privacy Preservation and Unknown Disturbances Quasi-Projective Synchronization of Discrete-Time Fractional-Order Delayed Memristive Neural Networks With Uncertainties Leader-Following Consensus With Prescribed Time-Bound and Order of Multiagent Systems With Increasing Scales: A Chain-Patterned Approach Adaptive Bipartite Hybrid Event-Triggered Output Consensus of Heterogeneous Uncertain Multiagent Systems Under Fixed and Switching Topologies Finite Strategy Switches of Coordinating and Anti-Coordinating Games on Weighted Networks Principal Predictor Analysis With Application to Dynamic Process Monitoring Adaptive Backstepping Control for Nonlinear Vehicles With Guaranteed String Stability and Suppressed Cascade Fluctuations Dynamic Event-Triggered Model Reference Adaptive Control for Uncertain Switched Systems A Multiattribute Decision-Making Framework for Multidisciplinary Lung Cancer Treatment Considering Expert Willingness for Opinion Transformation Achieving Convex Optimization Within Prescribed Time for Networked Euler–Lagrange Systems: A Novel Adaptive Distributed Approach With Small-Gain Conditions Less Is More: A Small-Scale Learning Particle Swarm Optimization for Large-Scale Optimization Time and Energy Costs for Flocking of Cucker–Smale System Under Denial-of-Service Attacks Output Feedback Control for Fuzzy Singularly Perturbed Systems Under Nonuniform Sampling Universal Method for Enhancing Dynamics in Neural Networks via Memristor and Application in IoT-Based Robot Navigation Finite-Time Consensus of Stochastic Delayed Multiagent Systems Subject to Lévy Noise, Markov Switching, and Actuator Fault Uncertainties Multistep Intent Estimation Guided Adaptive Passive Control for Safety-Aware Physical Human–Robot Collaboration IEEE Transactions on Cybernetics Publication Information