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Learning-Based Performance Optimisation of Uncertain Systems – Dr Ali Mesbah, University of California

Jan 18, 2019engineering and tech

Many systems in nature change in random, unpredictable ways over time. From the motions of microscopic particles in fluids to the daily price of stocks, random processes play a large role in systems we interact with every day. Also, because of our incomplete understanding of the phenomena underlying many non-random systems, the mathematical models we use to describe them are often plagued with random uncertainties. Dr Ali Mesbah at the University of California at Berkeley aims to optimise the performance of random and uncertain systems through learning their behaviour in real time.