Enhanced Security of Industrial Fault Diagnosis Systems With Synergy of Covert Attacks and Low-Overhead Defenses.

DFDAN: A Dual-Branch Feature Decoupling-Driven Auxiliary Network for Enhanced Fault Diagnosis Safety.

Train a real-world local path planner in one hour via partially decoupled reinforcement learning and vectorized diversity.

Distributed Composite Learning Adaptive Fault-Tolerant Control for Multiple Marine Vehicles With Event-Triggered Communication.

Double-Loop-Optimization-Based Joint Parameter Tuning for Dynamic Matrix Control With Validation in Intelligent Cigarette Drying Process.

Efficient Real-Time Path Planning with Self-Evolving Particle Swarm Optimization in Dynamic Scenarios.

DML-PL: Deep metric learning based pseudo-labeling framework for class imbalanced semi-supervised learning.

Randomization-based neural networks for image-based wind turbine fault diagnosis.

A diversity-based parallel particle swarm optimization for nonconvex economic dispatch problem.

Borderline-margin loss based deep metric learning framework for imbalanced data.

An Autoselection Strategy of Multiobjective Evolutionary Algorithms Based on Performance Indicator and its Application.

Online health assessment and fault prediction for wind turbine generator.

Balancing broad and deep searches in evolutionary computation via a parallel zoning search.

Cyber topology design guaranteed structural controllability for networked systems.

Projection-Free Distributed Optimization With Nonconvex Local Objective Functions and Resource Allocation Constraint.

An Automatic Recognition Method for Students' Classroom Behaviors Based on Image Processing.

Graphical temporal semi-supervised deep learning-based principal fault localization in wind turbine systems.

Online health assessment of wind turbine based on operational condition recognition.

Zoning search using a hyper-heuristic algorithm.

Performance Limits Analysis of Nonlinear Model Predictive Control Systems.

Multiple model predictive control for large envelope flight of hypersonic vehicle systems.

A switch-mode information fusion filter based on ISRUKF for autonomous navigation of spacecraft.

Synchronized control with neuro-agents for leader-follower based multiple robotic manipulators.

Moving Horizon Scheduling for Networked Control Systems With Communication Constraints.

'Periodically-active phenomenon' of DIS-NCS with scattering transformation.

Model-based predictive control for spatially-distributed systems using dimensional reduction models.

Type-II T-S fuzzy modelling for SCR flue gas denitration.

Optimal Bandwidth Design for Lazy Learning Via Particle Swarm Optimization.

Min-max model predictive control for constrained nonlinear systems via multiple LPV embeddings.

A wide-range operating fuzzy control algorithm via receding horizon optimization.

Multi-model predictive control based on the Takagi-Sugeno fuzzy models: a case study.