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Paper Citation Record · LEDGER

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration

As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2412.02758.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2412.02758 v3

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:18:40.669871Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

56 of 56 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39cf9757-76fc-4ebf-87b7-0ded63b80038 · outbound

This paper cites From model-based control to data-driven control: Survey, classification and perspective,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration From model-based control to data-driven control: Survey, classification and perspective,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 2717bf6f-0ada-4151-bcd6-c2e144545f25 · outbound

This paper cites On an iterative technique for Riccati equation com- putations,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On an iterative technique for Riccati equation com- putations,

Reference 2

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verified fuzzy
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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.

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Observation 264379a3-decd-49ee-af76-1f8b59222502 · outbound

This paper cites Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Online optimal tracking control of continuous-time linear systems with unknown dynamics by using adaptive dynamic programming,

Reference 3

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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.

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Observation 0ccb182e-3454-4eac-a40c-0a647c105a68 · outbound

This paper cites Optimal output-feedback control of unknown continuous-time linear systems using off-policy reinforcement learning,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Optimal output-feedback control of unknown continuous-time linear systems using off-policy reinforcement learning,

Reference 4

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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.

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Observation fdce4efd-fc99-4ac2-9714-85a1790ed5d1 · outbound

This paper cites Data-driven finite-horizon optimal control for linear time-varying discrete-time systems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Data-driven finite-horizon optimal control for linear time-varying discrete-time systems,

Reference 5

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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.

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Observation eb9b2440-c0c7-4c35-9426-9d9902536cc6 · outbound

This paper cites Finite-time analysis of approximate policy iteration for the linear quadratic regulator,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Finite-time analysis of approximate policy iteration for the linear quadratic regulator,

Reference 6

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verified fuzzy
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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.

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Observation fc3764fb-487f-47fe-99a5-e4b86c8f9993 · outbound

This paper cites Robust policy iteration for continuous- time linear quadratic regulation,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Robust policy iteration for continuous- time linear quadratic regulation,

Reference 7

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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.

source=pdf_text observed=2026-08-11T23:18:39.559912Z digest=sha256:f00ce5143fc9b6c7ff5d3bc2241c4a6bc1e6b3055ea42aafe1b5813507d8947f

Observation 2665eac5-e63d-45a2-9328-140c1988b03f · outbound

This paper cites Efficient off-policy Q- learning for data-based discrete-time LQR problems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Efficient off-policy Q- learning for data-based discrete-time LQR problems,

Reference 8

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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.

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Observation 63ce0536-6dac-4a53-a4f0-60a4843baf8b · outbound

This paper cites Safely learning to control the constrained linear quadratic regulator,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Safely learning to control the constrained linear quadratic regulator,

Reference 9

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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.

source=pdf_text observed=2026-08-11T23:18:39.734549Z digest=sha256:778afd4a188dca69d2c1405d1fd8e3b420a286ee1636e7200ddf1d645d1f81e9

Observation 66cf4f9a-34b1-42ee-a8a6-e2843d1a5f38 · outbound

This paper cites Certainty equivalence is efficient for linear quadratic control,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Certainty equivalence is efficient for linear quadratic control,

Reference 10

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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.

source=pdf_text observed=2026-08-11T23:18:39.795508Z digest=sha256:11ed96eb77da701272cc0ddd659e4b7a6880aaa18a22088026a3779cda323404

Observation c17262a0-2b77-457d-9e9e-43b5c06eb1b6 · outbound

This paper cites Learning robust LQ-controllers using application oriented exploration,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Learning robust LQ-controllers using application oriented exploration,

Reference 11

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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.

source=pdf_text observed=2026-08-11T23:18:39.814731Z digest=sha256:418e2ba36ea510b5242d19563f10e57c1c40dea078823e0170dd8be26ece34bf

Observation 7c6654b9-97e4-4c4c-a0a8-7ca41c8b96f0 · outbound

This paper cites Formulas for data-driven control: Stabilization, optimality, and robustness,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Formulas for data-driven control: Stabilization, optimality, and robustness,

Reference 12

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raw_fallback, observed 2026-08-11T23:18:43.272539Z

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.

source=pdf_text observed=2026-08-11T23:18:39.834433Z digest=sha256:05575079665196eb6dd547e3dca0722d746fd9f5dddef09837d5c220f1113dcb

Observation 1a0e482d-60ea-479b-8282-5f655abdba54 · outbound

This paper cites Data informativity: a new perspective on data-driven analysis and control,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Data informativity: a new perspective on data-driven analysis and control,

Reference 13

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verified fuzzy
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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.

source=pdf_text observed=2026-08-11T23:18:39.854674Z digest=sha256:06f5d76d194e8d602e274495424ac7f2bd5c7e180e64b9921c4fa42e6262b71e

Observation 7a4322ac-6111-405a-916a-eb9f36e3bd48 · outbound

This paper cites Data-driven linear quadratic regulation via semidefinite programming,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Data-driven linear quadratic regulation via semidefinite programming,

Reference 14

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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.

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Observation 3278fc6d-f958-4e51-ad33-a197b8e8f43a · outbound

This paper cites Online learning of data-driven controllers for unknown switched linear systems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Online learning of data-driven controllers for unknown switched linear systems,

Reference 15

Resolution
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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.

source=pdf_text observed=2026-08-11T23:18:39.863744Z digest=sha256:10baf611a74321933e9b8f64df9070ce79369954d165fce49591822a90624b85

Observation f3989666-5f7e-4eb9-adad-48d596dfea56 · outbound

This paper cites From noisy data to feedback controllers: Nonconservative design via a matrix S-lemma,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration From noisy data to feedback controllers: Nonconservative design via a matrix S-lemma,

Reference 16

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no resolver link, observed 2026-08-11T23:18:39.867822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:39.867822Z digest=sha256:be1f1201fe4e4b56cee16e958f6bf3ea088e440bc6c58e2eb1d034bc44ec28b9

Observation da6bfd34-2e7a-4f05-8f86-3a308ad4685d · outbound

This paper cites Low-complexity learning of linear quadratic regulators from noisy data,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Low-complexity learning of linear quadratic regulators from noisy data,

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 5d40ed42-eced-4a3f-a1b9-162ef94f1122 · outbound

This paper cites On the certainty-equivalence approach to direct data-driven LQR design,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On the certainty-equivalence approach to direct data-driven LQR design,

Reference 18

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Unavailable: canonical work link unavailable.

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Observation 91eb01c5-54d8-4ccc-b994-d0b575b1fa63 · outbound

This paper cites Robust data- driven state-feedback design,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Robust data- driven state-feedback design,

Reference 19

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verified fuzzy
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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.

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Observation cd5d817b-9ba8-43f1-b0d4-b00cc5cb490c · outbound

This paper cites CoRe: Control-oriented regularization for system identification,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration CoRe: Control-oriented regularization for system identification,

Reference 20

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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.

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Observation 9fe4848b-34e4-4ad1-aa15-7cb067380db1 · outbound

This paper cites Structured exploration in the finite horizon linear quadratic dual control problem,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Structured exploration in the finite horizon linear quadratic dual control problem,

Reference 21

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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.

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Observation 17c36694-445f-4d05-8cad-b258effa9cac · outbound

This paper cites Bridging direct and indirect data-driven control formulations via regularizations and relaxations,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Bridging direct and indirect data-driven control formulations via regularizations and relaxations,

Reference 22

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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.

source=pdf_text observed=2026-08-11T23:18:39.894640Z digest=sha256:043be8fb66fab50aad59da00062befee8acfe024521d4898357603fe4ec50586

Observation dcb58337-c423-453a-801d-53723a09ea80 · outbound

This paper cites Global convergence of policy gradient methods for the linear quadratic regulator,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Global convergence of policy gradient methods for the linear quadratic regulator,

Reference 23

Resolution
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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.

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Observation 0db0a3e1-9728-48ed-a558-380a251be764 · outbound

This paper cites LQR through the Lens of First Order Methods: Discrete-time Case.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration LQR through the Lens of First Order Methods: Discrete-time Case

Reference 24

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:39.983576Z digest=sha256:2f2e0261280ffe925513e73cab1f9f5e58260933c4bf5853ebf2a94dd93c2668

Observation 4c0d50bf-5b3c-498d-b9bd-7808de83a796 · outbound

This paper cites Policy optimization for H2 linear control with H∞ robustness guarantee: Implicit regularization and global convergence,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Policy optimization for H2 linear control with H∞ robustness guarantee: Implicit regularization and global convergence,

Reference 25

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raw_fallback, observed 2026-08-11T23:18:42.876871Z

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.

source=pdf_text observed=2026-08-11T23:18:40.074884Z digest=sha256:243632f4a5d7b313a12a69f0a6655397f76276b669c9a05b60df6a956157917e

Observation 6ce4be40-e172-4246-8517-ba3143c38b5d · outbound

This paper cites Global convergence of policy gradient methods to (almost) locally optimal policies,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Global convergence of policy gradient methods to (almost) locally optimal policies,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.084260Z digest=sha256:5f9375cbd8671fa6c3935c660f040b1d791f39db61b3ae0ee67cee2a95c4aff5

Observation 087b28cb-eb24-4081-bcb8-4833df66672d · outbound

This paper cites Revisiting LQR control from the perspective of receding-horizon policy gradient,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Revisiting LQR control from the perspective of receding-horizon policy gradient,

Reference 27

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raw_fallback, observed 2026-08-11T23:18:42.854492Z

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.

source=pdf_text observed=2026-08-11T23:18:40.090287Z digest=sha256:1b8742d08ecb1982dbb890d6458e11c7191443cc7f4bf11a1b3ebbe42902da6f

Observation 823c1de9-5c50-491d-a280-23e8bd78bc73 · outbound

This paper cites Toward a theoretical foundation of policy optimization for learning control policies,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Toward a theoretical foundation of policy optimization for learning control policies,

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.839379Z

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.

source=pdf_text observed=2026-08-11T23:18:40.106107Z digest=sha256:d6eb801b52fb98be3e3341056184e815ef13f0ac67e74d81fb819695cd30e184

Observation fcc32de5-5ecc-4e7c-b72c-8d831672520b · outbound

This paper cites Adaptive optimal control for continuous-time linear systems based on policy iteration,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Adaptive optimal control for continuous-time linear systems based on policy iteration,

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.117009Z digest=sha256:328fc3474972adacd8a50af457c967b83782f9e7a60b9293fb0b3f255cd353fb

Observation 506f7a90-9c05-4e9d-8aa3-3d0c63e5276d · outbound

This paper cites Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Computational adaptive optimal control for continuous-time linear systems with completely unknown dynamics,

Reference 30

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no resolver link, observed 2026-08-11T23:18:40.120823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.120823Z digest=sha256:1ec9de84c19017c007655b4f64ffa663099c2a59cff2963b8fd4f2058fde8081

Observation 3e5d9422-63c6-424e-9f4f-8e2b2415d34e · outbound

This paper cites Value iteration for continuous-time linear time-invariant systems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Value iteration for continuous-time linear time-invariant systems,

Reference 31

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raw_fallback, observed 2026-08-11T23:18:42.802322Z

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.

source=pdf_text observed=2026-08-11T23:18:40.126334Z digest=sha256:9b24eccda85d70107e003675057f6275e1dd789567811746b2254d52512922f5

Observation 05c6226f-d691-41f3-80d6-b0f023fd4ee7 · outbound

This paper cites On-policy data-driven linear quadratic regulator via model reference adaptive reinforcement learning,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On-policy data-driven linear quadratic regulator via model reference adaptive reinforcement learning,

Reference 32

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raw_fallback, observed 2026-08-11T23:18:42.716688Z

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.

source=pdf_text observed=2026-08-11T23:18:40.130450Z digest=sha256:704423ef567faf5ceb9c9ff086c0f31dfdb30c1035ec449fc1ad84dd2728ab06

Observation 501dbc93-d9f6-4b4f-be20-a9fb659fb87e · outbound

This paper cites MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.135618Z digest=sha256:8d6fffce3a6e1ff5a2a6752efc6e6e198297c5e7ca19ce4712505fbee33503b8

Observation ec519285-2b34-4e52-b0b2-f5bbf7ba4521 · outbound

This paper cites On-policy data-driven linear quadratic regulator via combined policy iteration and recursive least squares,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On-policy data-driven linear quadratic regulator via combined policy iteration and recursive least squares,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.583796Z

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.

source=pdf_text observed=2026-08-11T23:18:40.139509Z digest=sha256:83ae87683c45adf000a3be79d3b0fc552e16329eaaa61c5a94257cb2c4eea6b4

Observation d6e55226-1b43-4e3f-b7cb-c256d897e066 · outbound

This paper cites Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-11T23:18:40.785585Z

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.

source=pdf_text observed=2026-08-11T23:18:40.143721Z digest=sha256:d09244bbeef614e3ac495ce9daec52de3af8df5e65cca68455f96821c51081de

Observation cc4178c4-d7e1-46b3-97db-2cb9c9c9e06c · outbound

This paper cites The role of identification in data-driven policy iteration: A system theoretic study,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration The role of identification in data-driven policy iteration: A system theoretic study,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.558283Z

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.

source=pdf_text observed=2026-08-11T23:18:40.147354Z digest=sha256:efb0686b655284126b25f68389a2221ab98fbdbf275fda7f2fc169cbbbab03cf

Observation 202eaa08-b51b-4ff2-a5c1-5cdf6d44c0bc · outbound

This paper cites 100 years of extremum seeking: A survey,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration 100 years of extremum seeking: A survey,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T23:18:40.150264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.150264Z digest=sha256:231a960e991632366e6259cdf2c346acac0f0d7203601714330d139c1e37d68e

Observation 3d08894a-77e1-4430-a61d-5bd4b03b0339 · outbound

This paper cites Adaptive extremal control,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Adaptive extremal control,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.410508Z

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.

source=pdf_text observed=2026-08-11T23:18:40.154208Z digest=sha256:d5f471b890cc41fdf89cb36b0510b47bfc4e1308e7f351c61f5b9fdb76d0ebfb

Observation c390302e-7632-4574-a1e7-6388edfe80f0 · outbound

This paper cites Solving smooth and nonsmooth multivariable extremum seeking problems by the methods of nonlinear programming,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Solving smooth and nonsmooth multivariable extremum seeking problems by the methods of nonlinear programming,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.348942Z

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.

source=pdf_text observed=2026-08-11T23:18:40.187454Z digest=sha256:c02b814f2ee223317a7b8d22bb50b37f5a21917687d448b1c75c6e035012f31f

Observation c2746736-47dc-4a84-a196-43909ff1a6ce · outbound

This paper cites Ariyur and M.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Ariyur and M

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.291508Z

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.

source=pdf_text observed=2026-08-11T23:18:40.269683Z digest=sha256:aee50b1511f7d1ef453ea57bdc93995a34ba04183377df4b63d5bd9e9fb180c6

Observation 621b8f0b-bfb1-44dd-99dd-4d12d893b46d · outbound

This paper cites Stability of extremum seeking feedback for general nonlinear dynamic systems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Stability of extremum seeking feedback for general nonlinear dynamic systems,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T23:18:40.353333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.353333Z digest=sha256:78dd02150e723de90d2266deebcff61cd3da5c5b63651fb3a4ca380d206c8c03

Observation 77293a28-0255-40fe-8332-526af4e6d346 · outbound

This paper cites On non-local stability properties of extremum seeking control,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On non-local stability properties of extremum seeking control,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.154952Z

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.

source=pdf_text observed=2026-08-11T23:18:40.401914Z digest=sha256:a9903a03322df7a346ca1aed71bf2566e6813befd9e54bfa8b4f5324a1c37220

Observation 06f91ae3-73a3-4781-8f46-291b7a422e04 · outbound

This paper cites Finite-horizon LQ control for unknown discrete-time linear systems via extremum seeking,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Finite-horizon LQ control for unknown discrete-time linear systems via extremum seeking,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:42.068463Z

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.

source=pdf_text observed=2026-08-11T23:18:40.410431Z digest=sha256:d49e5f33f73892bdd47f58551875636af93cbd0faf589731a90f5397a44a69db

Observation b728b295-cf73-43f2-97d0-392d01fc37ac · outbound

This paper cites Nonlinear systems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Nonlinear systems,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-11T23:18:40.417223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.417223Z digest=sha256:2261f071eb625596f16996e31fee78f82ef16f561716bd49f5d27db23d1b48ac

Observation 44b06b14-8793-4802-9309-624d00c543a4 · outbound

This paper cites an unresolved cited work.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T23:18:42.015881Z

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.

source=pdf_text observed=2026-08-11T23:18:40.425002Z digest=sha256:b596cb874a19d932b10786780f04d08683815e8d5d6d290961887b4fa145b04a

Observation 1c76df38-2db0-4c55-a905-2397dd795091 · outbound

This paper cites Averaging analysis for discrete time and sampled data adaptive systems,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Averaging analysis for discrete time and sampled data adaptive systems,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.949546Z

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.

source=pdf_text observed=2026-08-11T23:18:40.443765Z digest=sha256:e7e41ae71d1864e276bbc082c6b31c70628c2f77d036a430d367d4c1511b2bec

Observation 11a6a7cf-6952-49aa-a9b3-100ea7a6360a · outbound

This paper cites Extremum-seeking policy iteration for data-driven LQR,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Extremum-seeking policy iteration for data-driven LQR,

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.922771Z

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.

source=pdf_text observed=2026-08-11T23:18:40.453812Z digest=sha256:f8aac4924d9f70edea1337c51a826241eeca42a7a626d2fdfdc6ad25cfe70315

Observation 9af8c156-26bc-47f3-9fac-4e15307ae1c9 · outbound

This paper cites an unresolved cited work.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T23:18:40.457950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:18:40.457950Z digest=sha256:16630a3d147c4508c638a735373902e21cee9e5d340845571d3be97a321953a2

Observation 0ee85323-3e18-492a-8298-0efc08fc6e1b · outbound

This paper cites On topological properties of the set of stabilizing feedback gains,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On topological properties of the set of stabilizing feedback gains,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.814616Z

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.

source=pdf_text observed=2026-08-11T23:18:40.461988Z digest=sha256:e1a2ba8041578ef08b69c5a842f0c081ff594de11cbc4afeb47cd93b96ae3b8b

Observation b64beaf6-5d8d-40e9-8829-5fa41b8e893e · outbound

This paper cites Personalized optimization with user’s feedback,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Personalized optimization with user’s feedback,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.765200Z

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.

source=pdf_text observed=2026-08-11T23:18:40.466408Z digest=sha256:ce5ef73300726d1201f600af43c0c9209b734b550bcb18d07966ea8f55c5364a

Observation f55833bb-11f8-4f66-b087-99f6fbcc4b44 · outbound

This paper cites LQR via first order flows,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration LQR via first order flows,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.685647Z

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.

source=pdf_text observed=2026-08-11T23:18:40.470696Z digest=sha256:cf557ae52a38037dff7c78a082e61b38b9f9dbf3999f70fd8ffb923bb3f6b7e8

Observation c7e10e4f-871c-459e-b504-746e3b208c10 · outbound

This paper cites Leonhard, Control of electrical drives.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Leonhard, Control of electrical drives

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.385080Z

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.

source=pdf_text observed=2026-08-11T23:18:40.474444Z digest=sha256:d38ab2029f87171cca5ea031af027d6a56d24b63f130064b349396d4fbd25a05

Observation 2846d27a-d840-4051-8c31-1ae8452181e4 · outbound

This paper cites Sines and cosines of angles in arithmetic progression,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Sines and cosines of angles in arithmetic progression,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.102800Z

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.

source=pdf_text observed=2026-08-11T23:18:40.478145Z digest=sha256:a73b0bf7c10f3b3e869cca292567ce71ad7143d1f736aa3c955a8d20ce8b3fbf

Observation ff8312b6-5150-48a5-a133-10bff0a619e3 · outbound

This paper cites On the discrete analogy of Gronwall lemma,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration On the discrete analogy of Gronwall lemma,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:41.022405Z

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.

source=pdf_text observed=2026-08-11T23:18:40.481431Z digest=sha256:323cf7323ea5a8b7cea7e50553b374eba599359ead697bab2fa0c2e357135e63

Observation 832cfc43-1dae-4cc2-a6dd-b90a28cefd99 · outbound

This paper cites Discrete Gronwall lemma and applications,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Discrete Gronwall lemma and applications,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:40.984521Z

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.

source=pdf_text observed=2026-08-11T23:18:40.585571Z digest=sha256:d24e27ceff19ddda78b91d94e0cf6959db44fb0b75b6c3431391c1a6a0253812

Observation 4326bb4a-ffba-434e-b24b-eace5a56191a · outbound

This paper cites Extremum seeking tracking for derivative-free distributed optimization,.

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration Extremum seeking tracking for derivative-free distributed optimization,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T23:18:40.892933Z

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.

source=pdf_text observed=2026-08-11T23:18:40.669871Z digest=sha256:eb3df248e2878a6d640132bfb567baf408125b13eb96f41837cf41419214e10c

Pith citing papers

No inbound Pith citation observations are available.