Research Summaries

Back Scalable Framework for Hierarchical Design and Planning under Uncertainty

Fiscal Year 2016
Division Graduate School of Operational & Information Sciences
Department Operations Research
Investigator(s) Royset, Johannes O.
Sponsor Defense Advanced Research Projects Agency (DoD)
Summary NPS will develop an information-driven, learning-based mathematical framework for uncertainty quantification (UQ), design, and optimal operation of ultra-high-speed marine vessels, doubling the speed of existing vessels for US Navy special operations. The framework will be scalable with respect to the high number of decision variables and uncertain parameters required by such systems, will integrate the design of physical components with control algorithms, and hence it will achieve a holistic design that will replace traditional fragmented processes by a set-based design, i.e., focusing on eliminating poor designs at an early stage and rapidly generating feasibility regions in the design space. This framework will be demonstrated in the context of design and operation of an unconventional Hybrid Hydrofoil H2-SWATH - a concept first proposed by MIT team member S. Brizollara. In foil-borne mode, the vessel reaches 120 knots maximum speed while in sea states 4 and 5 it achieves speeds over 60 knots through real-time path planning to avoid excessive waves.
Keywords Optimization Uncertainty quantification
Publications Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal
Data Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal