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...
Wind energy represents a leading renewable resource for the production of clean and sustainable electricity for on- and off-grid networks. Nevertheless, tower and foundation costs, which typically represent about 30 percent of the total installati...
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...