This research pioneers formal combined plant and controller optimization (termed ``co-design") schemes for complex systems where accurate but expensive experiments are fused with cheap but less accurate numerical simulations. This fusion of experi...
The overarching objective of this research is to use machine learning tools to address the design and real-time control of active systems, focusing specifically by tethered airborne wind energy and ocean current energy systems. In both application...