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the claim

Specific control engineering techniques enable the landing maneuvers of reusable rockets.

the verdict
SUPPORTED
the evidence backs this
Recorded sources
4 sources for · 0 against

Counts group repeated records of the same source within each side. They do not measure evidence strength or source independence.

Specific control engineering and guidance techniques are directly responsible for enabling the precise landing maneuvers of reusable rockets and vertical-landing launch vehicles.

The analysis

The claim is specific, empirical, and well-supported by multiple retrieved papers detailing control systems, guidance algorithms, and GNC technologies for reusable launch vehicles and planetary landings.

Evidence for · 4
Recorded source metadata

Ju X, Wei C, Xu H, Wang F. Fractional-order sliding mode control with a predefined-time observer for VTVL reusable launch vehicles under actuator faults and saturation constraints.. 2022. https://doi.org/10.1016/j.isatra.2022.02.003

This study presents a composite control system using sliding mode control and observers to handle actuator constraints during the vertical landing of reusable launch vehicles.

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More for · 3
Recorded source metadata

Johnston H, Schiassi E, Furfaro R, Mortari D. Fuel-Efficient Powered Descent Guidance on Large Planetary Bodies via Theory of Functional Connections.. 2020. https://doi.org/10.1007/s40295-020-00228-x

This paper introduces an advanced powered descent guidance approach using the Theory of Functional Connections to solve fuel-efficient landing on planetary bodies.

Recorded source metadata

Marwege A, Gülhan A, Klevanski J, Hantz C, Karl S, Laureti M, De Zaiacomo G, Vos J, Jevons M, Thies C, Krammer A, Lichtenberger M, Carvalho J, Paixão S. RETALT: review of technologies and overview of design changes.. 2022. https://doi.org/10.1007/s12567-022-00458-9

This review highlights Guidance, Navigation, and Control (GNC) and retro propulsion as critical key technologies studied for the vertical landing of reusable launcher configurations.

Recorded source metadata

Nugroho L, Andiarti R, Akmeliawati R, Wijaya SK. Enhancing the landing guidance of a reusable launch vehicle by improving genetic algorithm-based deep reinforcement learning using Hybrid Deterministic-Stochastic algorithm.. 2024. https://doi.org/10.1371/journal.pone.0292539

This research demonstrates how hybrid deterministic-stochastic algorithms and deep reinforcement learning enhance the landing guidance and accuracy of reusable launch vehicles.

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first checked01 Aug 2026
judged → SUPPORTED · 8001 Aug 2026
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