Home ›
Entities
› academia
› Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach
Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach
Research article (Expert Systems with Applications, 2022) · cited 41× · AI/ML
Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach
Summary
Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach is a scholarly article[1].
Key Facts
Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach'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). Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach. Retrieved May 24, 2026, from https://4ort.xyz/entity/quantized-control-for-finite-time-synchronization-of-delayed-fractional-order-memristive-neural-networks-the-gronwall-in
MLA“Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/quantized-control-for-finite-time-synchronization-of-delayed-fractional-order-memristive-neural-networks-the-gronwall-in.
BibTeX@misc{4ortxyz_quantized-control-for-finite-time-synchronization-of-delayed-fractional-order-memristive-neural-networks-the-gronwall-in_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach}}, year = {2026}, url = {https://4ort.xyz/entity/quantized-control-for-finite-time-synchronization-of-delayed-fractional-order-memristive-neural-networks-the-gronwall-in}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Quantized control for finite-time synchronization of delayed fractional-order memristive neural networks: The Gronwall inequality approach — https://4ort.xyz/entity/quantized-control-for-finite-time-synchronization-of-delayed-fractional-order-memristive-neural-networks-the-gronwall-in (retrieved 2026-05-24)