IEEE Transactions on Cybernetics

Nonfragile Near-Optimal Control of Stochastic Time-Varying Multiagent Systems With Control- and State-Dependent Noises

Multidirectional Prediction Approach for Dynamic Multiobjective Optimization Problems

A Clustering-Based Adaptive Evolutionary Algorithm for Multiobjective Optimization With Irregular Pareto Fronts

Domain Space Transfer Extreme Learning Machine for Domain Adaptation

Learning-Based Adaptive Attitude Control of Spacecraft Formation With Guaranteed Prescribed Performance

Fault Tolerant Sliding Mode Predictive Control for Uncertain Steer-by-Wire System

Serendipitous Recommendation in E-Commerce Using Innovator-Based Collaborative Filtering

Dual-Environmental Particle Swarm Optimizer in Noisy and Noise-Free Environments

Multiplicative Update Methods for Incremental Quantile Estimation

Data-Based Reinforcement Learning for Nonzero-Sum Games With Unknown Drift Dynamics

A Grid Weighted Sum Pareto Local Search for Combinatorial Multi and Many-Objective Optimization

Two New Discrete-Time Neurodynamic Algorithms Applied to Online Future Matrix Inversion With Nonsingular or Sometimes-Singular Coefficient

Opinion Dynamics in the Presence of Increasing Agreement Pressure

Model-Based Edge-Event-Triggered Containment Control Under Directed Topologies

Resilient Autonomous Control of Distributed Multiagent Systems in Contested Environments

Prioritizing Useful Experience Replay for Heuristic Dynamic Programming-Based Learning Systems

Multiobjective Sparse Non-Negative Matrix Factorization

Robust Landmark Detection and Position Measurement Based on Monocular Vision for Autonomous Aerial Refueling of UAVs

Pornographic Image Recognition via Weighted Multiple Instance Learning

Large-Scale Robust Semisupervised Classification

Finite-Time Rigidity-Based Formation Maneuvering of Multiagent Systems Using Distributed Finite-Time Velocity Estimators

Delta Divergence: A Novel Decision Cognizant Measure of Classifier Incongruence

A Data-Driven Aero-Engine Degradation Prognostic Strategy.

Learning Kernel for Conditional Moment-Matching Discrepancy-based Image Classification

Reachable Set Estimation for Discrete-Time Markovian Jump Neural Networks With Generally Incomplete Transition Probabilities.

A Many-Objective Evolutionary Algorithm Based on a Two-Round Selection Strategy.

Event-Based Resilient Formation Control of Multiagent Systems.

Granular Description of Data Structures: A Two-Phase Design.

Physical Human-Robot Collaboration: Robotic Systems, Learning Methods, Collaborative Strategies, Sensors, and Actuators.

Adaptive Fuzzy State/Output Feedback Control of Nonstrict-Feedback Systems: A Direct Compensation Approach

People-Centric Evolutionary System for Dynamic Production Scheduling.

Event-Triggered Multiagent Optimization for Two-Layered Model of Hybrid Energy System With Price Bidding-Based Demand Response.

Joint Learning of Multiple Latent Domains and Deep Representations for Domain Adaptation.

Abdominal-Waving Control of Tethered Bumblebees Based on Sarsa With Transformed Reward

On robot compliance. A cerebellar control approach

Dynamic MOPSO-Based Optimal Control for Wastewater Treatment Process.

Identity Recognition Based on Bioacoustics of Human Body.

Distributed and Parallel ADMM for Structured Nonconvex Optimization Problem.

Distributed Optimization of Multiagent Systems Subject to Inequality Constraints.

Discriminative Dimension Reduction via Maximin Separation Probability Analysis.

Global Dynamic Nonrecursive Realization of Decentralized Nonsmooth Exact Tracking for Large-Scale Interconnected Nonlinear Systems

Event-Triggered H∞ Control for T-S Fuzzy Systems via New Asynchronous Premise Reconstruction Approach.

A Bayes Risk Minimization Machine for Example-Dependent Cost Classification.

Adaptive Fuzzy Tracking Control Design for a Class of Uncertain Nonstrict-Feedback Fractional-Order Nonlinear SISO Systems.

Concept Preserving Hashing for Semantic Image Retrieval With Concept Drift.

Context-Aware Correlation Filter Learning Toward Peak Strength for Visual Tracking.

Design and Analysis of a Novel Integral Recurrent Neural Network for Solving Time-Varying Sylvester Equation.