Accession Number:

AD1131215

Title:

Improving Air Battle Management Target Assignment Processes via Approximate Dynamic Programming

Descriptive Note:

[Technical Report, Master's Thesis]

Corporate Author:

AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH

Personal Author(s):

• Liles, Joseph M. IV

Report Date:

2021-03-25

Pagination or Media Count:

69

Abstract:

Military air battle managers face many challenges when directing operations in quickly evolving combat scenarios. These scenarios require rapid decisions to engage moving and unpredictable targets. In defensive operations, the success of a sequence of air battle management decisions is reflected by the friendly forces ability to maintain air superiority by defending friendly assets. We develop a Markov decision process MDP model of the air battle management ABMproblem, wherein a set of unmanned combat aerial vehicles UCAV is tasked to defend a central asset from cruise missiles that arrive stochastically over time.

Descriptors:

• operations research
• unmanned aerial vehicles
• air force
• air power
• aircrafts
• dynamic programming
• warfare
• air defense
• computational science
• mathematical models
• probability
• united states
• battle management
• computer programming
• control systems
• cruise missiles
• military organizations
• neural networks
• optimization
• simulations

Subject Categories:

Distribution Statement:

[A, Approved For Public Release]