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A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model
Research article (Applied Sciences, 2022) · cited 14× · AI/ML
A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model
Summary
A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model is a scholarly article[1].
Key Facts
A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model's instance of is recorded as scholarly article[2].
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APA4ort.xyz Knowledge Graph. (2026). A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model. Retrieved May 24, 2026, from https://4ort.xyz/entity/a-comparative-study-of-design-of-active-fault-tolerant-control-system-for-airfuel-ratio-control-of-internal-combustion-e
MLA“A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/a-comparative-study-of-design-of-active-fault-tolerant-control-system-for-airfuel-ratio-control-of-internal-combustion-e.
BibTeX@misc{4ortxyz_a-comparative-study-of-design-of-active-fault-tolerant-control-system-for-airfuel-ratio-control-of-internal-combustion-e_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model}}, year = {2026}, url = {https://4ort.xyz/entity/a-comparative-study-of-design-of-active-fault-tolerant-control-system-for-airfuel-ratio-control-of-internal-combustion-e}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): A Comparative Study of Design of Active Fault-Tolerant Control System for Air–Fuel Ratio Control of Internal Combustion Engine Using Particle Swarm Optimization, Genetic Algorithm, and Nonlinear Regression-Based Observer Model — https://4ort.xyz/entity/a-comparative-study-of-design-of-active-fault-tolerant-control-system-for-airfuel-ratio-control-of-internal-combustion-e (retrieved 2026-05-24)