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