2 citations · 4 across the 11 of their papers we have counts for
7 papers · 1 filter
Beyond Quadratic Costs: A Bregman Divergence Approach to H Control
Joudi Hajar, Reza Ghane, Babak Hassibi
In the past couple of decades, non-quadratic convex penalties have reshaped signal processing and machine learning; in robust control, however, general convex costs break the Ricca…
Beyond Quadratic Costs in LQR: Bregman Divergence Control
Babak Hassibi, Joudi Hajar, Reza Ghane
In the past couple of decades, the use of ``non-quadratic" convex cost functions has revolutionized signal processing, machine learning, and statistics, allowing one to customize s…
Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach
Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung +1
Modern control designs in robotics, aerospace, and cyber-physical systems rely heavily on real-world data obtained through system outputs. However, these outputs can be compromised…
Robust Optimal Network Topology Switching for Zero Dynamics Attacks
Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar +3
The intrinsic, sampling, and enforced zero dynamics attacks (ZDAs) are among the most detrimental stealthy attacks in robotics, aerospace, and cyber-physical systems. They exploit…
Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon
Taylan Kargin, Joudi Hajar, Vikrant Malik +1
We investigate the Distributionally Robust Regret-Optimal (DR-RO) control of discrete-time linear dynamical systems with quadratic cost over an infinite horizon. Regret is the diff…
Regret-Optimal Control under Partial Observability
Joudi Hajar, Oron Sabag, Babak Hassibi
This paper studies online solutions for regret-optimal control in partially observable systems over an infinite-horizon. Regret-optimal control aims to minimize the difference in L…