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Found 4 papers, 0 papers with code
Adaptive Primal-Dual Method for Safe Reinforcement Learning
In this paper, we propose, analyze and evaluate adaptive primal-dual (APD) methods for SRL, where two adaptive LRs are adjusted to the Lagrangian multipliers so as to optimize the policy in each iteration.
Control-Oriented Modeling and Layer-to-Layer Spatial Control of Powder Bed Fusion Processes
However, due to inherent process variability, it is still very costly and time consuming to certify the process and the part.
A Learn-and-Control Strategy for Jet-Based Additive Manufacturing
This approach is applied for feedforward predictive control in which the network parameters are learned offline from previous data and the control input pattern for all layers to be printed is synthesized.
An empirical model for feedforward control of laser powder bed fusion
The empirical model of this behavior is developed and validated on different geometries at different laser power levels.
