Predictive missile guidance for agile maneuvering targets with stochastic hybrid dynamics

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1 Citation (Scopus)

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 languageEnglish
Title of host publication2016 IEEE Aerospace Conference, AERO 2016
PublisherIEEE Computer Society
ISBN (Electronic)9781467376761
DOIs
Publication statusPublished - 27 Jun 2016
Event2016 IEEE Aerospace Conference, AERO 2016 - Big Sky, United States
Duration: 5 Mar 201612 Mar 2016

Publication series

NameIEEE Aerospace Conference Proceedings
Volume2016-June
ISSN (Print)1095-323X

Conference

Conference2016 IEEE Aerospace Conference, AERO 2016
Country/TerritoryUnited States
CityBig Sky
Period5/03/1612/03/16

Bibliographical note

Publisher Copyright:
© 2016 IEEE.

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