Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration | Paper Citation Record

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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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.927970Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.832863Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.659327Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.597703Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.585382Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.572150Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.560085Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.548471Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.533733Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.442229Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.272539Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.188734Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.175031Z

Source-reported events for the cited work

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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: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.162495Z

Source-reported events for the cited work

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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

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

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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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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:18:39.877320Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.126896Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.112601Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.073216Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:43.034584Z

Source-reported events for the cited work

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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: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:42.900089Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:18:39.983576Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:42.876871Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:18:40.084260Z

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:42.854492Z

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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

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

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:18:40.117009Z

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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

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

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:42.802322Z

Source-reported events for the cited work

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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

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T23:18:42.716688Z

Source-reported events for the cited work

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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

Resolution: unresolved; no resolver link, observed 2026-08-11T23:18:40.135618Z

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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 2026-08-16T06:30:59.297886+00:00.

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

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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

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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

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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

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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

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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 2026-08-16T06:30:59.297886+00:00.

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

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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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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

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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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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 2026-08-16T06:30:59.297886+00:00.

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