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  • Video 
    Graduate School distinguished speaker series : Safety : the challenge of ML-enabled cyber-physical systems (CPS)

    Graduate School distinguished speaker series : Safety : the challenge of ML-enabled cyber-physical systems (CPS)

    Machine learning can deliver unprecedented performance. Its application domain has expanded into safety-critical cyber-physical systems such as UAVs and self-driver cars. However, the safety assurance of vehicular control has two conditions: 1) an analytical model of system behaviors such as provable stability, and 2) the software safety certification process (e.g., DO 178C) requires that the software be simple enough so that software safety can be validated by a combination of model checking and near exhaustive testing. Although ML software, as is, does not meet these two safety requirements, the real-time physics model supervised ML architecture holds the promise to 1) meet the two safety requirements and 2) enable ML software to safely improve control performance and safely learn from its experience in real-time. This talk will review the structure of the proposed architecture and some methods to embed physics into ML-enabled CPS control.
    Event Date: 12/05/2022
    Speaker: Prof. Lui Sha (University of Illinois Urbana-Champaign)
    Hosted by: Graduate School

    Subjects:
    Aeronautical and Aviation Engineering and Computing
    Keywords:
    Machine learning Vehicles Remotely piloted Computer software -- Reliability Drone aircraft
    Resource Type:
    Video
     
  • Video 
    Computer Software Challenges for Aerospace Missions

    Computer Software Challenges for Aerospace Missions

    An online lecture on the topic of "Computer Software Challenges for Aerospace Missions".This lecture of “Science World: Exploring Space to Benefit Mankind” Education Programme in the 2021/22 school year for secondary students, which aims to cultivate the interest of local youth in space science and elevate their enthusiasm for participating in the development of space technology.

    Subjects:
    Aeronautical and Aviation Engineering and Computing
    Keywords:
    Aeronautics -- Data processing Computer programming
    Resource Type:
    Video