Fault-Tolerant control of programmable logic controller-based production systems with deep reinforcement learning

Keyphrases

• End-effector 100%
• Fault-tolerant Control 100%
• Production System 100%
• Programmable Logic Controller 100%
• Fault Recovery 100%
• Deep Reinforcement Learning (deep RL) 100%
• Actuator 50%
• Automated Production Systems 50%
• Coordinate System 50%
• Two-axis 50%
• Control Policy 50%
• System Availability 50%
• Effector Mechanisms 50%
• Limited Possibilities 50%
• One-axis 50%
• Prediction Module 50%
• Programming Logic Controller 50%
• Open-ended Tasks 50%
• Reinforcement Learning Approach 50%
• Coordinate Prediction 50%
• Multi-agent Deep Reinforcement Learning (MADRL) 50%

Computer Science

• fault-tolerance 100%
• Deep Reinforcement Learning 100%
• Production System 100%
• Programmable Logic Controller 100%
• Multi-Agent Deep Reinforcement Learning 50%
• System Availability 50%
• Learning Approach 50%
• Coordinate System 50%
• Actuator 50%

Engineering

• Fault Tolerant Control 100%
• Reinforcement Learning 100%
• Production System 100%
• End Effector 66%
• Learning Approach 33%
• Proof-of-Concept 33%
• Coordinate System 33%
• Actuator 33%