most citedUnsupervised Learning for Equitable DER Control

6 citations · 6 across the 7 of their papers we have counts for

collaborators

7 papers

cs.RO2024

Safe and Dynamically-Feasible Motion Planning using Control Lyapunov and Barrier Functions

Pol Mestres, Carlos Nieto-Granda, Jorge Cortés

This paper considers the problem of designing motion planning algorithms for control-affine systems that generate collision-free paths from an initial to a final destination and ca…

math.OC2024

Willems' Fundamental Lemma for Nonlinear Systems with Koopman Linear Embedding

Xu Shang, Jorge Cortés, Yang Zheng

Koopman operator theory and Willems' fundamental lemma both can provide (approximated) data-driven linear representation for nonlinear systems. However, choosing lifting functions…

eess.SY2024

Online Event-Triggered Switching for Frequency Control in Power Grids with Variable Inertia

Jie Feng, Wenqi Cui, Jorge Cortés +1

The increasing integration of renewable energy resources into power grids has led to time-varying system inertia and consequent degradation in frequency dynamics. A promising solut…

eess.SY2024

Safe Event-triggered Gaussian Process Learning for Barrier-Constrained Control

Armin Lederer, Azra Begzadić, Sandra Hirche +2

While control barrier functions (CBFs) are employed in addressing safety, control synthesis methods based on them generally rely on accurate system dynamics. This is a critical lim…

math.OC2024

Converse Theorems for Certificates of Safety and Stability

Pol Mestres, Jorge Cortés

Motivated by the key role of control barrier functions (CBFs) in assessing safety and enabling the synthesis of safe controllers in nonlinear control systems, this paper presents a…

math-ph2024

Designing Poisson Integrators Through Machine Learning

Miguel Vaquero, David Martín de Diego, Jorge Cortés

This paper presents a general method to construct Poisson integrators, i.e., integrators that preserve the underlying Poisson geometry. We assume the Poisson manifold is integrable…

eess.SY2024★ 6 cited

Unsupervised Learning for Equitable DER Control

Zhenyi Yuan, Guido Cavraro, Ahmed S. Zamzam +1

In the context of managing distributed energy resources (DERs) within distribution networks (DNs), this work focuses on the task of developing local controllers. We propose an unsu…