Neural-Network-Based Nonlinear Optimal Terminal Guidance With Impact Angle Constraints

The terminal guidance problem considering nonlinearity, optimality, and impact angle constraints is investigated. First, the conditions for optimal guidance in the longitudinal plane are derived based on the Pontryagin's maximum principle, and then the to-be-solved two-point boundary value prob...

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Vydané v:	IEEE transactions on aerospace and electronic systems Ročník 60; číslo 1; s. 819 - 830
Hlavní autori:	Cheng, Lin, Wang, Han, Gong, Shengping, Huang, Xu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York IEEE 01.02.2024 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	Algorithms Boundary value problems Deep neural networks Gravity Impact angle impact angle constraint Indexes Maximum principle Missiles Navigation Neural networks Nonlinearity optimal control optimal guidance Optimization Proportional navigation Real-time systems Terminal guidance Trajectory
ISSN:	0018-9251, 1557-9603
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