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Data Driven Modeling of Turbocharger Turbine using Koopman Operator
The objective of this paper is to develop a model to predict the transient and steady-state behavior of the turbine using the Koopman operator which can be helpful for control design and analysis.
Deep Reinforcement Learning Based Controller for Active Heave Compensation
The performance of the proposed method is compared with respect to heave compensation, offset tracking, disturbance rejection, and noise attenuation.
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