Paper Citation Record · LEDGER

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control

As of 23 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2507.06817.

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

pith.paper-citation-record.v1
2507.06817 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:01:11.595194Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

32 of 32 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 06b77110-9037-4639-84b8-eb1a16cadf92 · outbound

This paper cites Towards gain tuning for numerical kkl observers,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Towards gain tuning for numerical kkl observers,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.241184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6cb6980e-fe57-4141-ac49-c0a6236a7239 · outbound

This paper cites Deep learning-based luenberger observer de- sign for discrete-time nonlinear systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Deep learning-based luenberger observer de- sign for discrete-time nonlinear systems,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.222652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 761677ea-1c35-4563-8f58-8c9ac9a885aa · outbound

This paper cites Numerical design of luenberger observers for nonlinear systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Numerical design of luenberger observers for nonlinear systems,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.205735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 666b805e-c3fc-401e-9a35-0cbcc083f9ef · outbound

This paper cites Learning- based design of luenberger observers for autonomous nonlinear sys- tems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Learning- based design of luenberger observers for autonomous nonlinear sys- tems,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.186722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d71934e7-f093-497a-857f-7641ce5ee9c7 · outbound

This paper cites Learning robust state observers using neural odes,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Learning robust state observers using neural odes,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.167744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 99f13e62-505b-42d2-87a1-3036bd9e9be3 · outbound

This paper cites Nonlinear discrete-time observers with physics-informed neural networks,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Nonlinear discrete-time observers with physics-informed neural networks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.149625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 068d7d25-2bbb-4098-badf-55272eaff654 · outbound

This paper cites Remarks about the numerical inversion of injective nonlinear maps,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Remarks about the numerical inversion of injective nonlinear maps,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.131784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 720ea774-cfcb-45cf-8cfe-96b3af1f4ab1 · outbound

This paper cites Observer design for continuous- time dynamical systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Observer design for continuous- time dynamical systems,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.114230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 9b8e67c3-04b0-4514-8937-a0b5caac9eea · outbound

This paper cites Robust extended kalman filtering,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Robust extended kalman filtering,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.096537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b2322645-7a60-4b8a-bee8-c8a9f6c72505 · outbound

This paper cites Convergence analysis of the extended kalman filter used as an observer for nonlinear deter- ministic discrete-time systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Convergence analysis of the extended kalman filter used as an observer for nonlinear deter- ministic discrete-time systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.079540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8386617e-8a7f-4418-87d0-fbaa37f53449 · outbound

This paper cites An adaptive sliding-mode observer for a class of uncertain nonlinear systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control An adaptive sliding-mode observer for a class of uncertain nonlinear systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.057648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 6a571e61-5ca3-4571-a324-ed8ffe75bca2 · outbound

This paper cites Deep-learning based kkl chain observer for discrete-time nonlinear systems with time-varying output delay,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Deep-learning based kkl chain observer for discrete-time nonlinear systems with time-varying output delay,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.033269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation ba84a4c0-0f53-46ba-9d77-b149fa8ef724 · outbound

This paper cites Data-driven estimation using an echo-state neural network equipped with an ensemble kalman filter,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Data-driven estimation using an echo-state neural network equipped with an ensemble kalman filter,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:12.012058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d37cba7e-416f-4673-94bd-e3ffe94eb367 · outbound

This paper cites On the computational power of circuits of spiking neurons,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control On the computational power of circuits of spiking neurons,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.992073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 380b2660-0aca-49ac-9615-729d84c22d1a · outbound

This paper cites Echo state networks are universal,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Echo state networks are universal,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.972655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bafb8e97-dad9-47ee-a5f2-399d23b36f79 · outbound

This paper cites Neural network adaptive observer design for nonlinear systems with partially and completely unknown dynamics subject to variable sampled and delay output mea- surement,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Neural network adaptive observer design for nonlinear systems with partially and completely unknown dynamics subject to variable sampled and delay output mea- surement,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.951929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation cb9d49f3-18b0-4124-8581-0ad5d7e826d4 · outbound

This paper cites Unsupervised Physics-Informed Neural Network-based Nonlinear Observer design for autonomous systems using contraction analysis.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Unsupervised Physics-Informed Neural Network-based Nonlinear Observer design for autonomous systems using contraction analysis

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T19:01:11.650731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation febb4c00-f257-4b24-9e1f-0c1e2d576ef6 · outbound

This paper cites Hybrid state estimation: integrating physics- informed neural networks with adaptive ukf for dynamic systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Hybrid state estimation: integrating physics- informed neural networks with adaptive ukf for dynamic systems,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.931492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a07c02bf-c26e-417e-b8d4-5d004716131f · outbound

This paper cites Fuzzy neural network-based adaptive sliding-mode descriptor observer,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Fuzzy neural network-based adaptive sliding-mode descriptor observer,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.912519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b98f0ffc-5fbc-45fb-ad85-cf766c755147 · outbound

This paper cites Neural network observer based on fuzzy auxiliary sliding-mode-control for nonlinear systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Neural network observer based on fuzzy auxiliary sliding-mode-control for nonlinear systems,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.894569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f4c66d8-224e-4eaa-bef8-f2f89ee5a4cc · outbound

This paper cites Neural-based event-triggered observer design for adaptive sliding mode control of nonlinear net- worked control systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Neural-based event-triggered observer design for adaptive sliding mode control of nonlinear net- worked control systems,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.870332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43c9ce1b-2663-4726-9ebd-2b1b112005c7 · outbound

This paper cites Design of a deep neural network-based integral sliding mode control for nonlinear systems under fully unknown dynamics,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Design of a deep neural network-based integral sliding mode control for nonlinear systems under fully unknown dynamics,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.853518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 55f9b275-00aa-45fa-b72d-d52d0809fa9b · outbound

This paper cites Convergence of nonlinear observers on Rn with a riemannian metric (part ii),.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Convergence of nonlinear observers on Rn with a riemannian metric (part ii),

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.836446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation fb669777-5a4c-41d6-9e4a-44f4bc184bac · outbound

This paper cites A new observer for an unknown harmonic oscillator,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control A new observer for an unknown harmonic oscillator,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.818995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 232ce238-43a0-48d0-a8b4-6448606f409a · outbound

This paper cites Convergence of nonlinear observers on Rn with a riemannian metric (part i),.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Convergence of nonlinear observers on Rn with a riemannian metric (part i),

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.802786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d8fc4c8c-57ac-4113-a15c-b2724bd407e8 · outbound

This paper cites Convergence of nonlinear observers on Rn with a riemannian metric (part iii),.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Convergence of nonlinear observers on Rn with a riemannian metric (part iii),

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.786704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f44b6331-ede5-4bc7-9196-8b87d5ffbfc7 · outbound

This paper cites Liquid level tracking control of three-tank systems,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Liquid level tracking control of three-tank systems,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.768751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e8d6d68d-e9f2-4eaa-aa12-99c6d5040156 · outbound

This paper cites Predictive control of three-tank-system utilizing both state-space and input-output models,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Predictive control of three-tank-system utilizing both state-space and input-output models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.746515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7f855ea-45a4-4e55-a339-38c65f33845c · outbound

This paper cites 3-tank system liquid level control using metaheuristic algorithm,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control 3-tank system liquid level control using metaheuristic algorithm,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.725956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 321fdbc8-cfb9-4a77-9699-c726b9a5f3d4 · outbound

This paper cites Adaptive fault-tolerant control for a three-tank system with height and rate constraints,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Adaptive fault-tolerant control for a three-tank system with height and rate constraints,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.708107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3bb1c4c5-602c-4583-b3ed-4178912b23b6 · outbound

This paper cites Observing a three-tank system,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Observing a three-tank system,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.691323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation af66dae3-75b0-484d-9c0f-96bece55ec4b · outbound

This paper cites Three tank system identification based on genetic algorithm,.

Designing Robust Software Sensors for Nonlinear Systems via Neural Networks and Adaptive Sliding Mode Control Three tank system identification based on genetic algorithm,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T19:01:11.672521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

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