no code implementations • 21 Aug 2022 • Shiping Shao, Farshad Harirchi, Devang Dave, Abhishek Gupta
We develop a new algorithm for scheduling the charging process of a large number of electric vehicles (EVs) over a finite horizon.
no code implementations • 18 Dec 2017 • Farshad Harirchi, Doohyun Kim, Omar A. Khalil, Sijia Liu, Paolo Elvati, Angela Violi, Alfred O. Hero
In this paper, we introduce a novel approach for the identification of the influential reactions in chemical reaction networks for combustion applications, using a data-driven sparse-learning technique.
no code implementations • 12 Dec 2017 • Farshad Harirchi, Omar A. Khalil, Sijia Liu, Paolo Elvati, Angela Violi, Alfred O. Hero
In this paper, we propose an optimization-based sparse learning approach to identify the set of most influential reactions in a chemical reaction network.
1 code implementation • 19 Sep 2016 • Farshad Harirchi, Necmiye Ozay
This paper presents a sound and complete fault detection approach for cyber-physical systems represented by hidden-mode switched affine models with time varying parametric uncertainty.
Optimization and Control