Skip to feedback

Award Abstract # 9803759
Adaptive Control Algorithms for Adaptive Optics Applications

NSF Org: DMS
Division Of Mathematical Sciences
Recipient: NORTH CAROLINA STATE UNIVERSITY
Initial Amendment Date: June 26, 1998
Latest Amendment Date: June 26, 1998
Award Number: 9803759
Award Instrument: Standard Grant
Program Manager: Thomas W. Fogwell
DMS
 Division Of Mathematical Sciences
MPS
 Directorate for Mathematical and Physical Sciences
Start Date: July 1, 1998
End Date: May 31, 2002 (Estimated)
Total Intended Award Amount: $63,885.00
Total Awarded Amount to Date: $63,885.00
Funds Obligated to Date: FY 1998 = $63,885.00
History of Investigator:
  • Moody Chu (Principal Investigator)
    chu@math.ncsu.edu
Recipient Sponsored Research Office: North Carolina State University
2601 WOLF VILLAGE WAY
RALEIGH
NC  US  27695-0001
(919)515-2444
Sponsor Congressional District: 02
Primary Place of Performance: North Carolina State University
2601 WOLF VILLAGE WAY
RALEIGH
NC  US  27695-0001
Primary Place of Performance
Congressional District:
02
Unique Entity Identifier (UEI): U3NVH931QJJ3
Parent UEI: U3NVH931QJJ3
NSF Program(s): COMPUTATIONAL MATHEMATICS
Primary Program Source: app-0198 
Program Reference Code(s): 0000, 9263, OTHR
Program Element Code(s): 127100
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.049

ABSTRACT

Chu 9803759 This research concerns the design, analysis and performance evaluation of adaptive control algorithms for adaptive optics applications. This investigation could lead to improved techniques for use in several areas of applications, including ground-based astro-imaging processing, medicine, communications, and laser technology. One specific area is the deformable mirror control computation for adaptive-optics systems to compensate for atmospheric turbulence. The challenges in this application are that atmosphere changes rapidly and that the statistics of the turbulence usually is unknown. The purpose of this study is threefold: (1) to develop a mathematical theory on how the turbulence statistics can be estimated using measured data, (2) to design a fast algorithm that enables efficient computation in real time, and (3) to integrate the theory and the algorithm into real application facilities.

Please report errors in award information by writing to: awardsearch@nsf.gov.

Print this page

Back to Top of page