11 citations · 14 across the 3 of their papers we have counts for
3 papers
On sparse identification of complex dynamical systems: A study on discovering influential reactions in chemical reaction networks
Farshad Harirchi, Doohyun Kim, Omar Khalil +5
A wide variety of real life complex networks are prohibitively large for modeling, analysis and control. Understanding the structure and dynamics of such networks entails creating…
A Data-Driven Sparse-Learning Approach to Model Reduction in Chemical Reaction Networks
Farshad Harirchi, Omar A. Khalil, Sijia Liu +3
In this paper, we propose an optimization-based sparse learning approach to identify the set of most influential reactions in a chemical reaction network. This reduced set of react…
Conflict-driven Hybrid Observer-based Anomaly Detection
Zheng Wang, Farshad Harirchi, Dhananjay Anand +3
This paper presents an anomaly detection method using a hybrid observer -- which consists of a discrete state observer and a continuous state observer. We focus our attention on an…