Home ›
Entities
› academia
› Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system
Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system
Research article (Mechanical Systems and Signal Processing, 2020) · cited 64× · AI/ML
Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system
Summary
Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system is a scholarly article[1].
Key Facts
Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system's instance of is recorded as scholarly article[2].
References
Programmatic citations — every numbered marker resolves to a verifiable graph row below.
Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system. Retrieved May 24, 2026, from https://4ort.xyz/entity/disturbance-rejection-based-on-iterative-learning-control-with-extended-state-observer-for-a-four-degree-of-freedom-hybr
MLA“Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/disturbance-rejection-based-on-iterative-learning-control-with-extended-state-observer-for-a-four-degree-of-freedom-hybr.
BibTeX@misc{4ortxyz_disturbance-rejection-based-on-iterative-learning-control-with-extended-state-observer-for-a-four-degree-of-freedom-hybr_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system}}, year = {2026}, url = {https://4ort.xyz/entity/disturbance-rejection-based-on-iterative-learning-control-with-extended-state-observer-for-a-four-degree-of-freedom-hybr}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Disturbance rejection based on iterative learning control with extended state observer for a four-degree-of-freedom hybrid magnetic bearing system — https://4ort.xyz/entity/disturbance-rejection-based-on-iterative-learning-control-with-extended-state-observer-for-a-four-degree-of-freedom-hybr (retrieved 2026-05-24)
