Most Cited Papers In Last Two Years

Reinforcement learning with Takagi-Sugeno-Kang fuzzy systems

AI-enhanced fault-tolerant control and security in transportation and logistics systems: addressing physical and cyber threats

Introduction to discrete-time reinforcement learning control in Complex Engineering Systems

Layered random fault injection method for the air braking system based on multiple Markov chains

Continual online learning-based optimal tracking control of nonlinear strict-feedback systems: application to unmanned aerial vehicles

Integrated control of anti-lock and regenerative braking for in-wheel-motor-driven electric vehicles

Multi-step policy evaluation for adaptive-critic-based tracking control towards nonlinear systems

AWF-YOLO: enhanced underwater object detection with adaptive weighted feature pyramid network

Secure consensus control for multi-agent systems under communication constraints via adaptive sliding mode technique

Zero trust implementation in the emerging technologies era: a survey

Enhancing unmanned aerial vehicle communication through distributed ledger and multi-agent deep reinforcement learning for fairness and scalability

Active manipulation of a tethered drone using explainable AI

Reinforcement learning-based optimal adaptive fuzzy control for nonlinear multi-agent systems with prescribed performance

Event-triggered model predictive tracking control of aero-engine with varying prediction horizon

Robust adaptive finite-time course tracking control of vessel under actuator attacks

Region stability of switched two-dimensional linear dissipative Hamiltonian systems with multiple equilibria

Nonlinear hierarchical control for four-wheel-independent-drive electric vehicle

A meta-learning approach for predicting asphalt pavement deflection basin area