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Minimize RSR Award Detail

Research Spending & Results

Award Detail

Awardee:JACKSON STATE UNIVERSITY
Doing Business As Name:Jackson State University
PD/PI:
  • Jun Liu
  • (618) 650-2220
  • juliu@siue.edu
Co-PD(s)/co-PI(s):
  • Tor A Kwembe ~000306279
  • Zhenbu Zhang ~000359753
Award Date:11/20/2017
Estimated Total Award Amount: $ 34,994
Funds Obligated to Date: $ 34,994
  • FY 2018=$34,994
Start Date:03/01/2018
End Date:02/28/2019
Transaction Type:Grant
Agency:NSF
Awarding Agency Code:4900
Funding Agency Code:4900
CFDA Number:47.049
Primary Program Source:040100 NSF RESEARCH & RELATED ACTIVIT
Award Title or Description:CBMS Conference: Computational Methods in Optimal Control
Federal Award ID Number:1743826
DUNS ID:044507085
Parent DUNS ID:044507085
Program:INFRASTRUCTURE PROGRAM
Program Officer:
  • Swatee Naik
  • (703) 292-4876
  • snaik@nsf.gov

Awardee Location

Street:1400 J R LYNCH ST.
City:Jackson
State:MS
ZIP:39217-0002
County:Jackson
Country:US
Awardee Cong. District:02

Primary Place of Performance

Organization Name:Jackson State University
Street:1400 John R. Lynch St
City:Jackson
State:MS
ZIP:39217-0001
County:Jackson
Country:US
Cong. District:02

Abstract at Time of Award

This National Science Foundation award supports a 5-day CBMS conference on "Computational Methods in Optimal Control", to be held at the Jackson State University, Jackson, Mississippi, during July, 2018. The principal lecturer will be Dr. William W. Hager from the University of Florida. As one of the largest Historically Black Colleges and Universities (HBCUs) in the United States, Jackson State University is a good location for hosting this conference, which will have a direct impact on training and attracting African-American students in the computational mathematics and statistical sciences doctoral programs and professions. The anticipated participants include senior and junior faculty, postdoctoral fellows, and graduate students. Some travel support will be provided to selected participants based on several criteria, such as relevance of research background, academic preparation, potential of long-term collaboration, and broader impacts. Due to the growing complexity of optimal control applications, approximate solutions are often obtained by numerical algorithms, which requires deep understanding of numerical discretization and solution techniques. Dr. Hager will deliver ten main lectures on state-of-the-art computational methods on optimal control during the morning sessions, which are accompanied with guided computer lab sessions in the afternoon focusing on computer implementations of the discussed algorithms. The presented lectures and the corresponding monograph will provide both the background needed to analyze convergence of discrete approximations and solution techniques in optimal control, and practical experience in solving real-world problems. To complement the content of the main lectures, a few invited speakers will give additional introductory talks that focus on efficient numerical methods for solving optimal control problems whose dynamics are described by a partial differential equation. More information can be found at the conference website: http://www.siue.edu/~juliu/cbms18

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