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Found 4 papers, 0 papers with code
PI-CoF: A Bilevel Optimization Framework for Solving Active Learning Problems using Physics-Information
Physics informed neural networks (PINNs) have recently been proposed as surrogate models for solving process optimization problems.
Tuning of Online Feedback Optimization for setpoint tracking in centrifugal compressors
Online Feedback Optimization (OFO) controllers steer a system to its optimal operating point by treating optimization algorithms as auxiliary dynamic systems.
Efficient safe learning for controller tuning with experimental validation
The performance of the new method is first validated in a simulated precision motion system, demonstrating improved computational efficiency, and illustrating the role of exploiting numerical solvers to reach the desired precision.
Degradation-aware data-enabled predictive control of energy hubs
Mitigating the energy use in buildings, together with satisfaction of comfort requirements are the main objectives of efficient building control systems.
