Predicting AGV Battery Cell Voltage Using a Neural Network Approach with Preliminary Data Analysis and Processing
Author:
Affiliation:
1. Silesian University of Technology,Department of Distributed Systems and Informatic Devices,Gliwice,Poland
2. Lviv Polytechnic National University,Automated Control Systems Department,Lviv,Ukraine
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10385234/10386078/10386137.pdf?arnumber=10386137
Reference24 articles.
1. Forecasting of Energy Consumption for Anomaly Detection in Automated Guided Vehicles: Models and Feature Selection
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3. Automatic grouping of production data in Industry 4.0: The use case of internal logistics systems based on Automated Guided Vehicles
4. Multi-Parameter Predictive Model of Mobile Robot’s Battery Discharge for Intelligent Mission Planning in Multi-Robot Systems
5. ESTIMATION AND SIMULATION OF CHARGED STATE OF BATTERY FOR AGV
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