Data-driven machine-learning control of nonlinear dynamical systems

Active Cooperative Agreement Awarded Last action

Award ID
W911NF262A002
Recipient
Awarding agency
Obligated
$244,000

Award facts

Assistance listing
12.431 Basic Scientific Research
Completion date 25% complete
Funding agency
Research Development and Engineering Command Army Materiel Command, Department of Defense
Place of performance
Tempe, AZ 85281, USA

Award details come from USAspending.gov.

About this award

The Department of the Army Materiel Command Research Development and Engineering Command awarded Arizona State University a $244,000 cooperative agreement on February 1, 2026, for data-driven machine-learning control of nonlinear dynamical systems under the Basic Scientific Research program (CFDA 12.431).

Work is performed in Tempe, Arizona, with a period of performance through January 31, 2029. The award funds research in data sciences and informatics and mathematics and statistics to support fundamental knowledge advancement related to long-term Army national security needs. Arizona State University's Office of Research and Sponsored Projects Administration (Orspa) holds the award as the administrative and contracting entity on behalf of the university's research teams.

Transactions

Action Obligated Date
Amendment Data-driven machine-learning control of nonlinear dynamical systems; topic areas: data sciences and informatics, mathematics and statistics $94,000
Amendment (no IDC) data‐driven machine‐learning control of nonlinear dynamical systems $0
Original award $150,000

Quick answers

Who received award W911NF262A002?

W911NF262A002 was awarded to Arizona State University by ACC Aberdeen Proving Ground (Army Contracting Command) on February 1, 2026.

How much is award W911NF262A002 worth?

$244,000 has been obligated on W911NF262A002.

Which agency awarded W911NF262A002?

ACC Aberdeen Proving Ground (Army Contracting Command) awarded W911NF262A002, with funding from Research Development and Engineering Command (Army Materiel Command).

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