A Fully Integrated Coupled and Nested Prediction System
Abstract
The proposed research seeks to develop and test algorithms for optimal courses of action selection by considering the impact of environmental information on ships/air platforms. This research will focus on intelligent decision making processe3s associated with a broad range of maritime operations involving manned, unmanned and air/surface/undersea systems. The research approach will consist of developing 1.) sequential algorithms for dynamic asset routing; 2.) robust multi-objective algorithms for rapid asset routing/re-routing in a dynamic weather-impacted environment; 3.) uncertainty management for controlling the quality of information, sensitivity analysis and improved situational awareness; and 4.) validating automated decision support concepts using different mission simulation test beds.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- May 18, 2016
- Source ID
- N00173161G905
Entities
People
- Krishna R. Pattipati
Organizations
- United States Naval Research Laboratory
- United States Navy
- University of Connecticut