Continuous-Time Prediction of Industrial Paste Thickener System with Differential ODE-Net

Keyphrases

• Encoder 100%
• Continuous-time 100%
• Time Prediction 100%
• Paste Thickener 100%
• ODE-Net 100%
• Long Time Delay 100%
• Negative Effects 50%
• Nonlinearity 50%
• Excellent Performance 50%
• Prediction Task 50%
• Performance Prediction 50%
• Deep Learning 50%
• Decoder 50%
• Network Structure 50%
• Unique Properties 50%
• Extracting Features 50%
• State-space Model 50%
• Optimal Control 50%
• Continuous Network 50%
• Thickener 50%
• System Data 50%
• Building Data 50%
• System Trajectory 50%
• Discrete-time Model 50%
• FLSmidth 50%
• Industrial Sensors 50%
• Data-driven Predictive Model 50%
• Historical Systems 50%
• Partially Observed Data 50%
• Underflow Concentration 50%
• Mud Pressure 50%
• Continuous-time Model 50%

Engineering

• Continuous Time 100%
• Thickener 100%
• Experimental Result 25%
• Deep Learning Method 25%
• Prediction Performance 25%
• Observed Data 25%
• Nonlinearity 25%
• Negative Effect 25%
• Optimal Control 25%
• Discrete Time 25%

Chemical Engineering

• Deep Learning Method 100%