Physics-informed machine learning modeling for predictive control using noisy data

Engineering

• Predictive Control 100%
• Noisy Data 100%
• Network Model 100%
• Learning System 100%
• Recurrent Neural Network 100%
• Open Loop 66%
• Closed Loop 66%
• Process Chemical 66%
• Non-Gaussian Noise 66%
• Gaussians 66%
• Artificial Neural Network 66%
• Process Structure 33%
• Loop Controller 33%
• Multi-Input Multi-Output 33%
• Nonlinear System 33%

Chemical Engineering

• Learning System 100%
• Recurrent Neural Network Model 100%
• Nonlinear System 33%
• Neural Network 33%
• Model Predictive Controller 33%
• Process Simulator 33%