Modeling and control of a joint air operations environment with imperfect information

Michael L. Curry; Jerry M. Wohletz; David A. Castanon; Christos G. Cassandras

doi:10.1117/12.474900

15 July 2002 Modeling and control of a joint air operations environment with imperfect information

Michael L. Curry, Jerry M. Wohletz, David A. Castanon, Christos G. Cassandras

Proceedings Volume 4716, Enabling Technologies for Simulation Science VI; (2002) https://doi.org/10.1117/12.474900
Event: AeroSense 2002, 2002, Orlando, FL, United States

Abstract

A key component of the Joint Air Operations (JAO) environment is the dynamic control of resources in the presence of uncertainty. This control involves the allocation of resources (e.g., different aircraft types) to prosecute targets and collect information while accounting for uncertain future events and partial, imperfect observations. The objective is to maximize the reward associated with the effective prosecution of targets, which is contingent on information collection, while minimizing loss of resources. In this paper, we extend an earlier formulation of an optimal dynamic resource allocation problem to explicitly include the dynamics of information collection and to identify the complexities involved. We then describe a simulation-based approach that was developed to solve the dynamic JAO control problem in the presence of partial and imperfect information.

Citation Download Citation

Michael L. Curry, Jerry M. Wohletz, David A. Castanon, and Christos G. Cassandras "Modeling and control of a joint air operations environment with imperfect information", Proc. SPIE 4716, Enabling Technologies for Simulation Science VI, (15 July 2002); https://doi.org/10.1117/12.474900

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