4 papers · 1 filter
Decision-Scaled Scenario Approach for Rare Chance-Constrained Optimization
Jaeseok Choi, Anand Deo, Constantino Lagoa +1
Chance-constrained optimization is a suitable modeling framework for safety-critical applications where violating constraints is nearly unacceptable. The scenario approach is a pop…
Robust Data-Driven Receding Horizon Control
Jian Zheng, Sahand Kiani, Mario Sznaier +1
This paper presents a data-driven receding horizon control framework for discrete-time linear systems that guarantees robust performance in the presence of bounded disturbances. Un…
Robust Adaptive Supplementary Control for Damping Weak-Grid SSOs Involving IBRs
Sina Ameli, Lilan Karunaratne, Nilanjan Ray Chaudhuri +1
Subsynchronous oscillations (SSOs) involving grid-following converters (GFLCs) connected to weak grids are a relatively new phenomena observed in modern power systems. SSOs are fur…
Reduced Sample Complexity in Scenario-Based Control System Design via Constraint Scaling
Jaeseok Choi, Anand Deo, Constantino Lagoa +1
The scenario approach is widely used in robust control system design and chance-constrained optimization, maintaining convexity without requiring assumptions about the probability…