Management and intelligent control of in‐flight fuel distribution in a commercial aircraft-Reference-Cited by-同舟云学术

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Management and intelligent control of in‐flight fuel distribution in a commercial aircraft

Published:2022-06-18 Issue: Volume: Page:
ISSN:0266-4720
Container-title:Expert Systems
language:en
Short-container-title:Expert Systems

Author:

Plaza Elías¹^ORCID,Santos Matilde²^ORCID

Affiliation:

1. Computer Science and Automatic Control Department UNED. C/ Juan del Rosal s/n Madrid Spain

2. Institute of Knowledge Technology University Complutense of Madrid Madrid Spain

Publisher

Wiley

Subject

Artificial Intelligence,Computational Theory and Mathematics,Theoretical Computer Science,Control and Systems Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/exsy.13075

Reference35 articles.

1. Airbus(2022). Retrieved January 15.https://www.airbus.com/aircraft/passenger-aircraft/a330-family/a330-200.

2. In‐flight estimation of center of gravity position using all‐accelerometers;Al‐Rawashdeh Y. M.;Sensors,2014

3. Modeling the fuel flow‐rate of transport aircraft during flight phases using genetic algorithm‐optimized neural networks;Baklacioglu T.;Aerospace Science and Technology,2016

4. Predicting the fuel flow rate of commercial aircraft via multilayer perceptron, radial basis function and ANFIS artificial neural networks;Baklacioglu T;The Aeronautical Journal,2021

5. Fuzzy expert system for road type identification and risk assessment of conventional two‐lane roads

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2. Mass and Inertia Estimation Using All-Accelerometer;2023 IEEE Sensors Applications Symposium (SAS);2023-07-18

3. First Approach of an Intelligent Automatic System for Aircraft Flap/Slat Positioning;18th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2023);2023

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