System Identification and Machine Learning Model Construction for Reinforcement Learning Control Strategies Applied to LENS System

Keyphrases

• Control Strategy 100%
• Directed Energy Deposition 100%
• Machine Learning Models 100%
• Build Process 100%
• System Identification 100%
• Part Quality 100%
• Reinforcement Learning 100%
• Model Building 100%
• Laser Engineered Net Shaping (LENS™) 100%
• Melt Pool Size 100%
• Reinforcement Learning Control 100%
• Learning Controller 100%
• High-fidelity Model 50%
• Enhanced Control 50%
• Control Performance 50%
• Deposition Process 50%
• Controller 50%
• Additive Manufacturing Process 50%
• Nonlinearity 50%
• Nonlinear Behavior 50%
• Machine Learning Approach 50%
• Closed-loop Controller 50%
• System Identification Toolbox 50%
• Initial Uncertainty 50%
• Part Geometry 50%

Engineering

• Control Strategy 100%
• Learning System 100%
• Reinforcement Learning 100%
• Learning Control 100%
• Melt Pool 66%
• Part Quality 66%
• Pool Size 66%
• Direct Energy Deposition 66%
• Simulation Result 33%
• Model Fidelity 33%
• Nonlinearity 33%
• Additive Manufacturing Process 33%
• Deposition Process 33%
• Nonlinear Behavior 33%
• Closed Loop 33%
• Learning Approach 33%
• Loop Controller 33%