A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design | Paper Citation Record

Observation 6f62ce19-233e-4c21-965f-8ee508f7eb32 · outbound

This paper cites Zarchan, Tactical and strategic missile guidance.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Zarchan, Tactical and strategic missile guidance

Reference 1

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Observation addb16c3-e75d-4399-8017-db73ae2bce37 · outbound

This paper cites State-space interpolation for a gain-scheduled autopilot,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design State-space interpolation for a gain-scheduled autopilot,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.373313Z

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Observation ec1c530b-9507-4186-b24c-72e6129b2db4 · outbound

This paper cites Interpolation of observer state feed- back controllers for gain scheduling,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Interpolation of observer state feed- back controllers for gain scheduling,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.361579Z

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Observation 8388f5cb-3caa-472f-a22d-4d0c1b95f39e · outbound

This paper cites Missile autopilot design: gain-scheduling and the gap metric,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Missile autopilot design: gain-scheduling and the gap metric,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.350707Z

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Observation 42d26474-cacb-4c84-a338-84020363026c · outbound

This paper cites Gain-scheduling control design in the presence of hidden coupling terms,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Gain-scheduling control design in the presence of hidden coupling terms,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.339416Z

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Observation 05ffb109-c26b-4430-b47f-570a6a0acbfa · outbound

This paper cites A sliding mode missile pitch autopilot synthesis for high angle of attack maneuvering,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design A sliding mode missile pitch autopilot synthesis for high angle of attack maneuvering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.326273Z

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Observation eef77cab-d422-43b3-b79f-715c4a256b49 · outbound

This paper cites Robust missile autopilot design via high-order sliding mode control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Robust missile autopilot design via high-order sliding mode control,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.314304Z

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Observation 27fbe001-a9ad-44bb-808f-4196e553d848 · outbound

This paper cites Nonlinear autopilot design for an asym- metric missile using robust backstepping control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Nonlinear autopilot design for an asym- metric missile using robust backstepping control,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.300496Z

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Observation ca5eb230-a822-458c-8f12-adf5d2e212b0 · outbound

This paper cites Adaptive autopilot design for guided munitions,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Adaptive autopilot design for guided munitions,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.286833Z

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Observation 5826ae1b-b3d7-46ea-a946-e20c84033187 · outbound

This paper cites L1 adaptive controller for a missile longitudinal autopilot design,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design L1 adaptive controller for a missile longitudinal autopilot design,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.275814Z

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Observation 423b6db0-c745-4831-85bb-8034dca33e7e · outbound

This paper cites Full envelope missile longitudinal autopilot design using the state-dependent riccati equation method,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Full envelope missile longitudinal autopilot design using the state-dependent riccati equation method,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.263398Z

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Observation 4d7cdf2e-9fb3-4f36-a201-bb531f1d158c · outbound

This paper cites SDRE autopilot for dual controlled missiles,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design SDRE autopilot for dual controlled missiles,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.249529Z

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Observation 2fc3708c-aac9-4640-9165-0b5652901f8a · outbound

This paper cites Design and ﬂight test of a robust autopilot for the iris- t air-to-air missile,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Design and ﬂight test of a robust autopilot for the iris- t air-to-air missile,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.234957Z

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Observation 2cbc6570-b896-4519-9d16-3e8623712c50 · outbound

This paper cites Augmented three-loop autopilot structure based on mixed-sensitivity H∞ optimization,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Augmented three-loop autopilot structure based on mixed-sensitivity H∞ optimization,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.221200Z

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Observation e515d495-4aae-47af-a308-70fb0d64653c · outbound

This paper cites Connections between linear and nonlinear missile autopilots via three-loop topology,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Connections between linear and nonlinear missile autopilots via three-loop topology,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.209750Z

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Observation 84a74119-eddf-4c6f-8125-6a7fb2f9a395 · outbound

This paper cites Introducing computational guidance and control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Introducing computational guidance and control,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.197585Z

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Observation dd7d4862-6d9c-49a3-bf3a-f27ba350ee11 · outbound

This paper cites Predictive functional control-based missile autopilot design,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Predictive functional control-based missile autopilot design,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.184299Z

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Observation cb812eb7-3f17-4699-83a8-94c922f3a5ef · outbound

This paper cites Nonlinear model predictive missile control with a stabilising terminal constraint,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Nonlinear model predictive missile control with a stabilising terminal constraint,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.172490Z

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Observation 19cc51e0-0057-4b89-a269-8b9b8e2897f7 · outbound

This paper cites Nonlinear model-predictive integrated missile control and its multiobjective tuning,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Nonlinear model-predictive integrated missile control and its multiobjective tuning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.160425Z

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Observation 18467c32-4127-4ed7-8cb8-5bc9c49ccec5 · outbound

This paper cites Control system optimization using genetic algorithms,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Control system optimization using genetic algorithms,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.148777Z

Source-reported events for the cited work

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Observation 8dd8d848-f748-4e04-bf3f-7980cf241bcb · outbound

This paper cites Multivariable con- troller design for aircraft longitudinal autopilot based on particle swarm optimization algorithm,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Multivariable con- troller design for aircraft longitudinal autopilot based on particle swarm optimization algorithm,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.137118Z

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Observation 1d772b46-205e-4650-af4d-e3e0f640eed9 · outbound

This paper cites Adaptive critic nonlinear robust control: A survey,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Adaptive critic nonlinear robust control: A survey,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.124772Z

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Observation 01656d7e-75c2-49c4-aefe-3afdf403fecc · outbound

This paper cites Transforming cooling optimization for green data center via deep reinforcement learning,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Transforming cooling optimization for green data center via deep reinforcement learning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.111582Z

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Observation 5701e68e-f82c-4bbb-a5aa-d6fafbbbbc1a · outbound

This paper cites Cooperative deep reinforcement learning for large-scale trafﬁc grid signal control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Cooperative deep reinforcement learning for large-scale trafﬁc grid signal control,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.099581Z

Source-reported events for the cited work

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Observation 1c575972-4d1c-441b-8676-9d47c1b6957a · outbound

This paper cites Reinforcement learning for uav attitude control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Reinforcement learning for uav attitude control,

Reference 25

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Source-reported events for the cited work

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Observation 976bba5a-8d38-4494-90e5-56cde6928c6b · outbound

This paper cites Parameterized batch reinforcement learning for longitudinal control of autonomous land ve- hicles,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Parameterized batch reinforcement learning for longitudinal control of autonomous land ve- hicles,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.087500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0b715177-6a05-4d51-bb7d-2c69c0e91dae · outbound

This paper cites Adaptive partial rein- forcement learning neural network-based tracking control for wheeled mobile robotic systems,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Adaptive partial rein- forcement learning neural network-based tracking control for wheeled mobile robotic systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.075426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f501f3c2-d9d5-4f50-b8b9-74f39db68b9b · outbound

This paper cites Adaptive neural network control of auvs with control input nonlinearities using reinforcement learning,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Adaptive neural network control of auvs with control input nonlinearities using reinforcement learning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.061658Z

Source-reported events for the cited work

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Observation ef77dbcb-87a1-4884-aecc-66dd19452797 · outbound

This paper cites Online adaptive critic ﬂight control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Online adaptive critic ﬂight control,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.049422Z

Source-reported events for the cited work

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Observation 3a590c27-bc25-4699-ba49-fa2599548e66 · outbound

This paper cites Helicopter trimming and tracking control using direct neural dynamic programming,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Helicopter trimming and tracking control using direct neural dynamic programming,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.035375Z

Source-reported events for the cited work

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Observation 9cd2cc7b-d3e5-40d2-b91e-63ce10a548e0 · outbound

This paper cites Incremental model based online dual heuristic programming for nonlinear adaptive control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Incremental model based online dual heuristic programming for nonlinear adaptive control,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.022425Z

Source-reported events for the cited work

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Observation 9db8eeac-18a4-4662-93b7-54bd692fcdc1 · outbound

This paper cites Deterministic policy gradient with integral compensator for robust quadrotor control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Deterministic policy gradient with integral compensator for robust quadrotor control,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:34.008327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e8bbada-38ff-4a52-8390-33f22389419e · outbound

This paper cites Morphing control of a new bionic morphing uav with deep reinforcement learning,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Morphing control of a new bionic morphing uav with deep reinforcement learning,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.994626Z

Source-reported events for the cited work

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Observation dac9a0e7-f374-4e59-972b-8739749e7c99 · outbound

This paper cites Depth control of model-free auvs via reinforcement learning,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Depth control of model-free auvs via reinforcement learning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.983044Z

Source-reported events for the cited work

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Observation d452e458-de1e-4624-9f76-d4443836cf7b · outbound

This paper cites Using background knowledge to speed reinforcement learning in physical agents,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Using background knowledge to speed reinforcement learning in physical agents,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.970346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 832e853c-a0a4-42c1-bddf-845fc764ba80 · outbound

This paper cites Deep reinforcement learning with prior knowledge,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Deep reinforcement learning with prior knowledge,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.957726Z

Source-reported events for the cited work

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Observation 57729dc6-7077-426c-8d3f-37550489b403 · outbound

This paper cites Knowledge matters: Importance of prior information for optimization,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Knowledge matters: Importance of prior information for optimization,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.944036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9fc19499-81a2-44a2-a492-79fa29d79dd8 · outbound

This paper cites The value of prior knowledge in machine learning of complex network systems,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design The value of prior knowledge in machine learning of complex network systems,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.931482Z

Source-reported events for the cited work

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Observation bec29fba-c04b-4856-836b-40b048e0f9c4 · outbound

This paper cites Using prior knowledge to improve reinforcement learning in mobile robotics,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Using prior knowledge to improve reinforcement learning in mobile robotics,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.918702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a0a881f1-87d6-4aa0-bd63-4d8fbe89a242 · outbound

This paper cites Continuous control with deep reinforcement learning.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Continuous control with deep reinforcement learning

Reference 40

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Observation 21801b8f-fd30-4d0a-a93b-8b53e001de79 · outbound

This paper cites Low-frequency learning and fast adaptation in model reference adaptive control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Low-frequency learning and fast adaptation in model reference adaptive control,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.905796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 1d6f37d3-633e-41bb-869a-c15274b587ee · outbound

This paper cites Connections Between Adaptive Control and Optimization in Machine Learning.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Connections Between Adaptive Control and Optimization in Machine Learning

Reference 42

Resolution: verified exact; local_arxiv, observed 2026-08-14T12:36:33.804745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 45caf91c-5813-4a93-9b51-b9eadb6532ab · outbound

This paper cites Nonsmooth H∞ synthesis,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Nonsmooth H∞ synthesis,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.892435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4f7e1628-afda-4ac4-9971-941ed797432b · outbound

This paper cites Parametric robust structured control design,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Parametric robust structured control design,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.880237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c4ba23eb-f968-4b1d-9280-ca8b63baf995 · outbound

This paper cites Effect of missile conﬁg- uration and inertial measurement unit location on autopilot response,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Effect of missile conﬁg- uration and inertial measurement unit location on autopilot response,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.866581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 6c00ee64-2257-446d-a81e-7ac64897b577 · outbound

This paper cites Missile longitudinal autopilots: comparison of multiple three loop topologies,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Missile longitudinal autopilots: comparison of multiple three loop topologies,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.853083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 13b0ce03-1e68-458b-beb0-2e34b62efee5 · outbound

This paper cites Bench- marking deep reinforcement learning for continuous control,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Bench- marking deep reinforcement learning for continuous control,

Reference 47

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Observation ecfabc06-e054-4654-9562-43606f7d4c34 · outbound

This paper cites Deep reinforcement learning that matters,.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Deep reinforcement learning that matters,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:36:33.833235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ce9df28e-b96a-4b25-ab38-2443785e4106 · outbound

This paper cites Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control.

A Domain-Knowledge-Aided Deep Reinforcement Learning Approach for Flight Control Design Reproducibility of Benchmarked Deep Reinforcement Learning Tasks for Continuous Control

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-14T12:36:33.732226Z

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