3 papers
cs.RO2026
SACK : Safe Active Continual Koopman Learning for Uncertain Systems with Contractive Guarantees
Chandan Kumar Sah, Rajpal Singh, Jishnu Keshavan
Koopman operator theory provides a powerful framework for representing nonlinear dynamics through a linear operator acting on lifted observables, enabling the use of linear control…
cs.RO2026
Generalized Momenta-Based Koopman Formalism for Robust Control of Euler-Lagrangian Systems
Rajpal Singh, Aditya Singh, Chidre Shravista Kashyap +1
This paper presents a novel Koopman operator formulation for Euler Lagrangian dynamics that employs an implicit generalized momentum-based state space representation, which decoupl…
cs.RO2026
Deep Robust Koopman Learning from Noisy Data
Aditya Singh, Rajpal Singh, Jishnu Keshavan
Koopman operator theory has emerged as a leading data-driven approach that relies on a judicious choice of observable functions to realize global linear representations of nonlinea…