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Inverse Optimal Control as an Errors-in-Variables Problem
Inverse optimal control (IOC) is about estimating an unknown objective of interest given its optimal control sequence.
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions
The choice of objective is critical for the performance of an optimal controller.
Active Learning-based Model Predictive Coverage Control
In addition, we derive a control framework that avoids the hierarchical structure by integrating the reference optimization in the MPC formulation.
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