Imitation learning enables synthesis of controllers for systems with complex objectives and
uncertain plant models. However, ensuring an imitation learned controller is stable requires …

Robust imitation learning seeks to mimic expert controller behavior while ensuring stability,
but current methods require accurate plant models. Here, robust imitation learning is …

Dissipativity has been an influential tool for stability analysis of networked systems for
several decades. In particular, the Network Dissipativity Theorem provides robust stability …

In the field of machine learning, the quest to optimize the performance of machine learning
models while maintaining robustness against perturbations stands as a fundamental …

We present the principled design of a control pipeline for the synthesis of policies from
examples data. The pipeline, based on a discretized design, expounds the algorithm …