3 papers
math.OC2026
Data-Driven Static Output-Feedback Control for Multi-Agent Systems
Paul Serna-Torre, Adam Sedlak, Patricia Hidalgo-Gonzalez
This work proposes a data-driven framework that synthesizes output-feedback control for linear time-invariant multi-agent systems (MAS). We first develop two algorithms that use of…
math.OC2026
Static Output Feedback Control for Multi-Agent Systems Using Nash Equilibrium
Paul Serna-Torre, Patricia Hidalgo-Gonzalez
This work proposes a semidefinite programming (SDP) model that synthesizes static output control feedback for networked linear time-invariant multi-agent systems (MAS). We theoreti…
eess.SY2024
Stability-Constrained Learning for Frequency Regulation in Power Grids with Variable Inertia
Jie Feng, Manasa Muralidharan, Rodrigo Henriquez-Auba +2
The increasing penetration of converter-based renewable generation has resulted in faster frequency dynamics, and low and variable inertia. As a result, there is a need for frequen…