Sensor Location in Distributed Parameter Systems
Abstract
Robust strategies for sensor placement and quantification of associated uncertainties is central tocontrol and design for distributed parameter applications ranging from micro-air vehicles toenergy harvesting in aircraft. Whereas observability and controllability criteria have long guidedsensor placement, the development and implementation of comprehensive criteria forapplications modeled by partial differential equations and delay systems is still lacking.Moreover, there remains a gap between the mathematical and statistical communitiesinvestigating the role of sensor placement for inverse problems arising in AFOSR applications.The goal of this workshop is to bring together researchers from these two communities toaddress techniques for sensor placement for emerging AFOSR applications modeled bydistributed parameter systems.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 28, 2017
- Source ID
- FA95501710265
Entities
People
- Ralph Smith
Organizations
- Air Force Office of Scientific Research
- North Carolina State University
- United States Air Force