3 papers
eess.SY2026
A KKL Observer Perspective on Reservoir Computing
Anastasia Bizyaeva, Fernando Castaños, Jaime A. Moreno
Reservoir computing (RC) is a machine learning technique for data-driven modeling of dynamics for forecasting and control, primarily studied in computer science and physics literat…
eess.SY2025
Formalizing Neuromorphic Control Systems: A General Proposal and A Rhythmic Case Study
Taisia Medvedeva, Alessio Franci, Fernando Castaños
Neuromorphic control is receiving growing attention due to the multifaceted advantages it brings over more classical control approaches, including: sparse and on-demand sensing, in…
math.OC2025
Sliding motions on systems with non-Euclidean state spaces: A differential-geometric perspective
Fernando Castaños
This paper extends sliding-mode control theory to nonlinear systems evolving on smooth manifolds. Building on differential geometric methods, we reformulate Filippov's notion of so…