Abstract
In this work we consider the problem of designing predictive guidance and control laws for missiles targeting agile aircraft. The target and missile dynamics are modeled as stochastic hybrid systems, which enables expression of complex maneuvers as sequences of simpler maneuver modes. Target's missile evasion strategy is modeled based on domain expertise and the interception problem is formulated as a Partially Observable Markov Decision Process, which is approximately solved online. The results show that the developed guidance method is superior to methods that do not utilize prediction of target's maneuvers or ignores the uncertainty in target's evasion tactics.
Original language | English |
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Title of host publication | 2016 IEEE Aerospace Conference, AERO 2016 |
Publisher | IEEE Computer Society |
ISBN (Electronic) | 9781467376761 |
DOIs | |
Publication status | Published - 27 Jun 2016 |
Event | 2016 IEEE Aerospace Conference, AERO 2016 - Big Sky, United States Duration: 5 Mar 2016 → 12 Mar 2016 |
Publication series
Name | IEEE Aerospace Conference Proceedings |
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Volume | 2016-June |
ISSN (Print) | 1095-323X |
Conference
Conference | 2016 IEEE Aerospace Conference, AERO 2016 |
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Country/Territory | United States |
City | Big Sky |
Period | 5/03/16 → 12/03/16 |
Bibliographical note
Publisher Copyright:© 2016 IEEE.