Adaptive dynamic programing design for the neural control of hypersonic flight vehicles

DOI10.1016/j.jfranklin.2021.08.014zbMath1472.93091OpenAlexW3198869922MaRDI QIDQ2235423

Qiang Qi, Xiangwei Bu

Publication date: 21 October 2021

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2021.08.014

zbMATH Keywords

tracking controladaptive dynamic programminghypersonic flight vehicles

Mathematics Subject Classification ID

Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Dynamic programming (90C39)

Related Items (5)

Model-free finite-horizon optimal tracking control of discrete-time linear systems ⋮ Event‐triggering‐based robust optimal control for post‐stall pitching maneuver of aircraft ⋮ Tuning-free filtering for stochastic systems with unmodeled measurement dynamics ⋮ Robust approximate optimal control for air‐breathing hypersonic vehicle ⋮ Trajectory tracking control for underactuated autonomous vehicles via adaptive dynamic programming

Cites Work

• Online actor-critic algorithm to solve the continuous-time infinite horizon optimal control problem
• Guaranteeing prescribed output tracking performance for air-breathing hypersonic vehicles via non-affine back-stepping control design
• Improved finite-time command filtered backstepping fault-tolerant control for flexible hypersonic vehicle
• Adaptive switching control for hypersonic vehicle with uncertain control direction
• An Overview of Research on Adaptive Dynamic Programming

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