专题:Elevator Systems and Control

This cluster of papers focuses on the optimization of elevator traffic control systems, including group scheduling, energy efficiency, and simulation-based approaches. It explores the use of genetic algorithms, fuzzy logic, and IoT technology in supervisory control and addresses escalator-related injuries.
最新文献
Data-Driven Linear Quadratic Control of Multizone Building VAV Units Using Q-Learning

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Dual-Modal Haptic Device Using AC Voltage-Driven Electrohydraulic Actuators for Teleoperated Robotic Grasping

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How many lifts does a construction site need? A Global optimization approach

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Design and Lightweight for Series Arc Detection Algorithm Model in Low Voltage Power Supply

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Fault Diagnosis of Air Handling Unit Based on Fisher Discriminant Analysis and an Improved Graph Convolutional Neural Network

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Topology-Aware Hypergraph Reinforcement Learning for Indoor Occupant-Centric HVAC Control

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Flexible Job Shop Scheduling Based on Learnable Graph Convolutional Attention Networks and Reinforcement Learning

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Spatio-Temporal Coordinated Decision-Making in Heterogeneous Platooning via Interflow Hub-and-Spoke Graph Reinforcement Learning

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Frequency-Dependent Switching Control from the Perspective of Gain Scheduling

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Distributed Secondary Control Based Cooperative Deep Reinforcement Learning of Microgrids

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近5年高被引文献
Learning to schedule job-shop problems: representation and policy learning using graph neural network and reinforcement learning

article Full Text OpenAlex 218 FWCI24.718

A Review of Reinforcement Learning Based Intelligent Optimization for Manufacturing Scheduling

review Full Text OpenAlex 200 FWCI5.007

A multi-action deep reinforcement learning framework for flexible Job-shop scheduling problem

article Full Text OpenAlex 196 FWCI28.682

Deep reinforcement learning for dynamic scheduling of a flexible job shop

article Full Text OpenAlex 184 FWCI26.908

Adaptive control of time delay teleoperation system with uncertain dynamics

article Full Text OpenAlex 132 FWCI14.842

Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities

article Full Text OpenAlex 130 FWCI18.366

A Machine Learning Approach for Energy-Efficient Intelligent Transportation Scheduling Problem in a Real-World Dynamic Circumstances

article Full Text OpenAlex 120 FWCI17.741

Challenges, tasks, and opportunities in teleoperation of excavator toward human-in-the-loop construction automation

article Full Text OpenAlex 100 FWCI19.8

A Highly Sensitive Triboelectric Vibration Sensor for Machinery Condition Monitoring

article Full Text OpenAlex 98 FWCI8.869

An Immune Genetic Extended Kalman Particle Filter approach on state of charge estimation for lithium-ion battery

article Full Text OpenAlex 97 FWCI7.365