Pegah Ojaghi is a Ph.D. student in the Department of Computer Engineering at the University of California, Santa Cruz. She received her B.S. in Control Engineering from Hamedan University of Technology, and her M.S. in Control Engineering from the Imam Khomeini International University, Iran in 2015. Her research interests include: hybrid systems, model predictive control, machine learning and artificial intelligence, robust control, nonlinear systems, stability analysis, and control of power systems.
Ojaghi, Pegah, and Mehdi Rahmani. "LMI-based robust predictive load frequency control for power systems with communication delays." IEEE Transactions on Power Systems 32.5 (2017): 4091-4100.
Ojaghi, Pegah, Nooshin Bigdeli, and Mehdi Rahmani. "An LMI approach to robust model predictive control of nonlinear systems with state-dependent uncertainties." Journal of Process Control 47 (2016): 1-10.
Altın, Berk, Pegah Ojaghi, and Ricardo G. Sanfelice. "A Model Predictive Control Framework for Hybrid Dynamical Systems." IFAC-PapersOnLine 51.20 (2018): 128-133.