Uncertain, Data-Driven Observer-based Feedback Control of Unmanned Aerospace Systems
Abstract
The long-term goal of this project is to construct a DDDAS framework for dynamic, data-driven sampling and control by autonomous unmanned aerospace systems using a principledapproach to dynamic output feedback with theoretical justification. The specific researchobjective is to apply tools from nonlinear control, engineering and fluid dynamics, estimationtheory, and uncertainty quantification to solve the problem of adaptive sampling of continuous and discrete processes with autonomous flight vehicles using Bayesian observer feedback.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Apr 09, 2018
- Source ID
- FA95501810137
Entities
People
- Derek Paley
Organizations
- Air Force Office of Scientific Research
- United States Air Force
- University of Maryland