This research effort advances the application of indirect optimal control with adversarial games for addressing end-game maneuverability in the context of real-time hypersonic guidance applications.
Research
Research
Indirect Methods and Adversarial Games Aiding Machine Learning for Real-Time Trajectory Generation
- UT Austin PI: Maruthi Akella
- Funding Source: Lockheed Martin
- Award: $255K
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