Data-Message Modeling for Multi-Lane Architectures on an IMA Platform Using the eSAM Method
Author:
Affiliation:
1. Gulfstream Aerospace Corporation,Savannah,GA,U.S.
2. The MathWorks, Inc.,Natick,Massachusetts,U.S
3. The MathWorks, Inc.,Novi,Michigan,U.S
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9925245/9925721/09925816.pdf?arnumber=9925816
Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Model‐Based Framework for Data and Knowledge‐Driven Systems Architecting Demonstrated on a Hydrogen‐Powered Concept Aircraft;INSIGHT;2024-02
2. Auto-Derivation of Functional Flow Block Diagrams from System Architecture using the eSAM Method;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
3. Introduction of a Dedicated Platform Level for IMA Systems Development With an Extensive Automation Tool Support;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
4. Using Autoencoders to Identify Aged, Faulty and Unknown Peripherals in the Adaptive IMA System;2023 IEEE/AIAA 42nd Digital Avionics Systems Conference (DASC);2023-10-01
5. Model‐based Framework for Data and Knowledge‐Driven Systems Architecting Demonstrated on a Hydrogen‐Powered Concept Aircraft;INCOSE International Symposium;2023-07
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