Master Thesis: Development of a Surrogate Model-Based Controller Addressing Model Uncertainty and Physical Constraints
neural network layers. Conformal prediction is an advanced method for quantifying model uncertainty [1], while implicit neural network layers help in restoring the physical accuracy lost in surrogate models [...] "pytorch" and "tensorflow" Good knowledge in modelling of chemical reactors Good knowledge in optimization [1] Y. Romano, E. Patterson, und E. J. Candès, „Conformalized Quantile Regression“. arXiv, 8. Mai 2019 …
