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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
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Video
Electricity is generated at Lamma Power Station located at Po Lo Tsui of Lamma Island. The power station has a total installed capacity of 3,737MW made up of three 250MW coal-fired units, five 350MW coal-fired units, one 55MW gas turbines, four 125MW gas turbines, one 335MW combined cycle unit, one 345MW combined cycle unit, one 800kW wind turbine and one 1MW solar power system. Lamma Power Station provides a safe and reliable supply of electricity for more than 570,000 customers on Hong Kong Island and Lamma Island, and contributes to HK Electric’s world class reliability of more than 99.999%. Following the opening of Hong Kong's first wind power station, Lamma Winds, in 2006, an extension to the power station that burns the more environmentally friendly natural gas became operational the same year. In line with Government policy that aims to increase the use of gas, gas-fired generation has been increased to over 30% of the total output in 2010 when another gas-fired unit was put on use.
- Course related:
- EE2004 Electrical Energy Systems Fundamentals
- Subjects:
- Electrical Engineering
- Keywords:
- China -- Hong Kong Electric power-plants Electric power distribution
- Resource Type:
- Video