Paper Citation Record · LEDGER

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach

As of 8 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 1 inbound Pith citation observation for arXiv:2507.18114.

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

pith.paper-citation-record.v1
2507.18114 v3

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T14:48:15.041273Z

measured 51 of 51 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:59:39.619505Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:59:42.586468Z

Reference resolution

50 of 50 outbound references displayed

verified exact4
verified fuzzy36
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8d292b99-4514-42be-98ff-0a4b83d15610 · outbound

This paper cites Closed-loop feedback sparsification under parametric uncertainties.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Closed-loop feedback sparsification under parametric uncertainties

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.574459Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 962605ba-036a-4391-ba0e-16c0920a7b88 · outbound

This paper cites Sparse Linear-Quadratic Feedback Design Using Affine Approximation.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Sparse Linear-Quadratic Feedback Design Using Affine Approximation

Reference 2

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Observation 14514b27-0f30-4af7-8916-2deef714d860 · outbound

This paper cites Convergence for nonconvex admm, with applications to ct imaging.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Convergence for nonconvex admm, with applications to ct imaging

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.564736Z

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Observation 62e87896-1e6f-40b7-bc8d-0e15ad229aa1 · outbound

This paper cites Optimization problems involving group sparsity terms.Mathematical Programming, 178:39–67, 2019.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Optimization problems involving group sparsity terms.Mathematical Programming, 178:39–67, 2019

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.555255Z

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Observation 6bc1b604-278d-400b-a2d3-56445e0b24ab · outbound

This paper cites KL property of exponent $1/2$ of $\ell_{2,0}$-norm and DC regularized factorizations for low-rank matrix recovery.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach KL property of exponent $1/2$ of $\ell_{2,0}$-norm and DC regularized factorizations for low-rank matrix recovery

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:15.165401Z

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Observation 6845c4cd-deb9-49f5-b122-f38f9da9e9df · outbound

This paper cites The łojasiewicz inequality for nonsmooth subana- lytic functions with applications to subgradient dynamical systems.SIAM Journal on Optimization, 17(4):1205–1223, 2007.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach The łojasiewicz inequality for nonsmooth subana- lytic functions with applications to subgradient dynamical systems.SIAM Journal on Optimization, 17(4):1205–1223, 2007

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.545417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5265b05f-e7fa-4eea-945b-e11f1c0140b2 · outbound

This paper cites Clarke subgradients of stratifiable functions.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Clarke subgradients of stratifiable functions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.535216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6be38ba6-05c1-44ee-8a98-ccbd27c9419e · outbound

This paper cites Proximal alternating linearized minimization for nonconvex and nonsmooth problems.Mathematical Programming, 146(1):459–494, 2014.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Proximal alternating linearized minimization for nonconvex and nonsmooth problems.Mathematical Programming, 146(1):459–494, 2014

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:14.900349Z

Source-reported events for the cited work

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Observation a994ca04-b5f2-4aa6-b235-35c9bf6f5067 · outbound

This paper cites A proximal minimization algorithm for structured nonconvex and nonsmooth problems.SIAM Journal on Optimization, 29(2):1300– 1328, 2019.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach A proximal minimization algorithm for structured nonconvex and nonsmooth problems.SIAM Journal on Optimization, 29(2):1300– 1328, 2019

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.518967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f00922af-39ee-4125-a4b6-dd83ea3300ef · outbound

This paper cites The proximal alternating direction method of multipliers in the nonconvex setting: convergence analysis and rates.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach The proximal alternating direction method of multipliers in the nonconvex setting: convergence analysis and rates

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.509386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25c921b6-5796-49ba-992d-829bfc372584 · outbound

This paper cites Cambridge university press, 2004.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Cambridge university press, 2004

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:14.910158Z

Source-reported events for the cited work

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Observation 4dee4539-a1a5-4449-988a-2d2e09a79625 · outbound

This paper cites Outer approximation with conic certificates for mixed-integer convex problems.Mathematical Programming Computation, 12(2):249–293, 2020.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Outer approximation with conic certificates for mixed-integer convex problems.Mathematical Programming Computation, 12(2):249–293, 2020

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.493972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3d75a069-9bcf-494d-b127-9d50576cd6e8 · outbound

This paper cites An introduction to semialgebraic geometry, 2000.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach An introduction to semialgebraic geometry, 2000

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.484807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d0c41581-52a4-4ffb-8636-179814936e1b · outbound

This paper cites The design of controllers for the multivariable robust servomech- anism problem using parameter optimization methods.IEEE Transactions on Automatic Control, 26(1):93–110, 1981.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach The design of controllers for the multivariable robust servomech- anism problem using parameter optimization methods.IEEE Transactions on Automatic Control, 26(1):93–110, 1981

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.475200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 954d5824-ec8d-4b6e-a36a-9d97a85e5b99 · outbound

This paper cites Sparse approximations with interior point methods.Siam review, 64(4):954–988, 2022.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Sparse approximations with interior point methods.Siam review, 64(4):954–988, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.464946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8fcfb21e-df84-47d2-8cb0-d737e15b3843 · outbound

This paper cites Solving infinite-dimensional optimization problems by polynomial approximation.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Solving infinite-dimensional optimization problems by polynomial approximation

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.454580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 44033da4-e49c-4409-82bb-41ff4509f765 · outbound

This paper cites Convex relaxation for optimal distributed control problems.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Convex relaxation for optimal distributed control problems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.444327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bfb77934-f30e-4008-9ffc-9d23ce3ae7c7 · outbound

This paper cites Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:15.150394Z

Source-reported events for the cited work

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Observation 350c12fb-7627-4c36-8f20-c21e2fc42931 · outbound

This paper cites Optimization-based design of communication topology for decentral- ized linear-quadratic problem.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Optimization-based design of communication topology for decentral- ized linear-quadratic problem

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.434695Z

Source-reported events for the cited work

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Observation 46f671e0-e474-4feb-a4ea-acec38794d3e · outbound

This paper cites Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Two-Timescale Optimization Framework for Sparse-Feedback Linear-Quadratic Optimal Control

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:14.941188Z

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Observation bb98e4df-94f1-49eb-a6a2-10f9331b5feb · outbound

This paper cites Sparsity invari- ance for convex design of distributed controllers.IEEE Transactions on Control of Network Systems, 7(4):1836–1847, 2020.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Sparsity invari- ance for convex design of distributed controllers.IEEE Transactions on Control of Network Systems, 7(4):1836–1847, 2020

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.424968Z

Source-reported events for the cited work

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Observation 250e813a-fdb5-4473-982f-b8161554dba9 · outbound

This paper cites A gauss–seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach A gauss–seidel type inertial proximal alternating linearized minimization for a class of nonconvex optimization problems

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.414150Z

Source-reported events for the cited work

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Observation 56f2361f-361d-4ecc-a8d2-c89c4f460908 · outbound

This paper cites Courier Corporation, 2000.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Courier Corporation, 2000

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:14.952653Z

Source-reported events for the cited work

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Observation c17acd78-5187-48ac-879f-ab8f5502b95d · outbound

This paper cites Decentralized control through parameter space optimization.Automatica, 30(10):1565–1578, 1994.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Decentralized control through parameter space optimization.Automatica, 30(10):1565–1578, 1994

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.398730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c18380e3-d3d1-48d3-b513-2b1bbf0a4453 · outbound

This paper cites Iteration complexity analysis of block coordinate descent methods.Mathematical Programming, 163:85–114, 2017.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Iteration complexity analysis of block coordinate descent methods.Mathematical Programming, 163:85–114, 2017

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.389592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0122848c-19f7-4994-b36a-94389f574fe1 · outbound

This paper cites Prentice hall, 1996.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Prentice hall, 1996

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.380338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f82737a-ca55-4702-a02c-b94836bb3dfa · outbound

This paper cites Global convergence of splitting methods for nonconvex composite optimization.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Global convergence of splitting methods for nonconvex composite optimization

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.370880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e04524d2-4373-4887-8371-26f143eff776 · outbound

This paper cites an unresolved cited work.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-06T14:48:15.361862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 723b25a7-0049-4f2e-b4ea-2e8ca0b3b5b6 · outbound

This paper cites Design of optimal sparse feedback gains via the alternating direction method of multipliers.IEEE Transactions on Automatic Control, 58(9):2426– 2431, 2013.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Design of optimal sparse feedback gains via the alternating direction method of multipliers.IEEE Transactions on Automatic Control, 58(9):2426– 2431, 2013

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.352661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5dfe0599-cfd1-4755-9ed4-4adc3fa2f5fa · outbound

This paper cites A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach A Practical and Optimal First-Order Method for Large-Scale Convex Quadratic Programming

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:14.975901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7948378f-913f-4ea2-8430-e235d1040bea · outbound

This paper cites Optimal decen- tralized control for uncertain systems by symmetric gauss–seidel semi-proximal alm.IEEE Trans- actions on Automatic Control, 66(11):5554–5560, 2021.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Optimal decen- tralized control for uncertain systems by symmetric gauss–seidel semi-proximal alm.IEEE Trans- actions on Automatic Control, 66(11):5554–5560, 2021

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.342391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 747ba486-c537-4e6a-9ec4-b4a4e329efa4 · outbound

This paper cites Regularization for design.IEEE Transactions on Au- tomatic Control, 61(12):3991–4006, 2016.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Regularization for design.IEEE Transactions on Au- tomatic Control, 61(12):3991–4006, 2016

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.332200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d617f14f-3462-4aa3-8d31-409046f73b63 · outbound

This paper cites Sparsity-promoting optimal control of cyber–physical systems over shared communication networks.Automatica, 122:109217, 2020.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Sparsity-promoting optimal control of cyber–physical systems over shared communication networks.Automatica, 122:109217, 2020

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.320555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 922ade9a-bb76-4cd3-8b78-f6fd52884aa4 · outbound

This paper cites KL property of exponent $1/2$ of quadratic functions under nonnegative zero-norm constraints and applications.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach KL property of exponent $1/2$ of quadratic functions under nonnegative zero-norm constraints and applications

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:15.114684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f80dd41c-3fb0-4328-9f01-85eb8d66756c · outbound

This paper cites Structured policy iteration for linear quadratic regulator.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Structured policy iteration for linear quadratic regulator

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.310208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0eafcfe8-242e-4d45-8115-6c394c875501 · outbound

This paper cites Inertial proximal alternating linearized minimization (ipalm) for nonconvex and nonsmooth problems.SIAM journal on imaging sciences, 9(4):1756–1787, 2016.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Inertial proximal alternating linearized minimization (ipalm) for nonconvex and nonsmooth problems.SIAM journal on imaging sciences, 9(4):1756–1787, 2016

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.300633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a83c1512-0713-4bba-acc9-cf89b4564c3c · outbound

This paper cites A unified convergence analysis of block successive minimization methods for nonsmooth optimization.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach A unified convergence analysis of block successive minimization methods for nonsmooth optimization

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.290765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0633baf7-c513-400e-a1fc-85374ce3b61a · outbound

This paper cites Springer Science & Business Media, 2009.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Springer Science & Business Media, 2009

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:15.002386Z

Source-reported events for the cited work

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Observation b7b1d771-915f-4fd0-b7f7-b4a9feeec084 · outbound

This paper cites A characterization of convex problems in decentralized control.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach A characterization of convex problems in decentralized control

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.274356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 41fd59ec-514c-472f-9bf1-2e179051b6c0 · outbound

This paper cites Robust control and linear parameter varying approaches: application to vehicle dynamics, volume 437.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Robust control and linear parameter varying approaches: application to vehicle dynamics, volume 437

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Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.264449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 93519840-68b3-480a-96a7-64868d5ab166 · outbound

This paper cites Linear systems: optimal and robust control.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Linear systems: optimal and robust control

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.254631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9b84bbf4-1c74-4179-a57b-bea1174f34be · outbound

This paper cites Learning optimal controllers by policy gradient: Global optimality via convex parameterization.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Learning optimal controllers by policy gradient: Global optimality via convex parameterization

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.245000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 06b267bb-416a-4ff6-ad3a-1f2b5f44ac98 · outbound

This paper cites Structured output feedback control for linear quadratic regulator using policy gradient method.IEEE Transactions on Automatic Control, 69(1):363–370, 2023.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Structured output feedback control for linear quadratic regulator using policy gradient method.IEEE Transactions on Automatic Control, 69(1):363–370, 2023

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.234208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d72accde-17b9-4b2d-a243-80727cac472e · outbound

This paper cites Policy Optimization over Submanifolds for Linearly Constrained Feedback Synthesis.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Policy Optimization over Submanifolds for Linearly Constrained Feedback Synthesis

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:15.021288Z

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Observation a076dd4e-25bd-4093-b3b1-35e56282836a · outbound

This paper cites Douglas–rachford splitting and admm for nonconvex optimization: Tight convergence results.SIAM Journal on Optimization, 30(1):149–181, 2020.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Douglas–rachford splitting and admm for nonconvex optimization: Tight convergence results.SIAM Journal on Optimization, 30(1):149–181, 2020

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.221132Z

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Observation 9f8782cd-303f-4c23-964c-e4649d223c4d · outbound

This paper cites On the complexity of decentralized decision making and detec- tion problems.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach On the complexity of decentralized decision making and detec- tion problems

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.206728Z

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Observation ee1102d6-0ee6-4e2b-b321-94d2ee3fee70 · outbound

This paper cites Kurdyka–łojasiewicz property of zero-norm composite functions.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Kurdyka–łojasiewicz property of zero-norm composite functions

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.196406Z

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Observation cef24b00-c6b7-479c-8dbd-216471fdb8ed · outbound

This paper cites An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach An Accelerated Proximal Alternating Direction Method of Multipliers for Optimal Decentralized Control of Uncertain Systems

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T14:48:15.034527Z

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Observation 06196080-f9a2-42a6-99e7-ffe136d05840 · outbound

This paper cites Kurdyka-{\L}ojasiewicz exponent via inf-projection.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Kurdyka-{\L}ojasiewicz exponent via inf-projection

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:48:15.077124Z

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Observation bfc168b4-a0e1-4018-bac8-548b3cca7759 · outbound

This paper cites Distributed design for decentralized control using chordal decomposition and admm.IEEE Transactions on Control of Network Systems, 7(2):614–626, 2019.

Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach Distributed design for decentralized control using chordal decomposition and admm.IEEE Transactions on Control of Network Systems, 7(2):614–626, 2019

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T14:48:15.186331Z

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Pith citing papers

Observation 4c86aa80-4e7e-4837-b4df-a4dae00d6560 · inbound

Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control cites this paper.

Douglas-Rachford Splitting for Group-Sparse Feedback Linear-Quadratic Control Nonconvex Optimization Framework for Group-Sparse Feedback Linear-Quadratic Optimal Control: Penalty Approach

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:59:42.676210Z

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