Quadratic CLFs for Koopman bilinear systems imply constant-input stabilizability, exactly characterized by a QCQP with a convex SDP relaxation as a sufficient test.
Koopman operator dy- namical models: Learning, analysis and control,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Koopman operator regression on physics-simulated cloth data yields a linear surrogate model that enables efficient model predictive control for accurate dynamic folding trajectories on unseen poses in both simulation and real-robot experiments.
citing papers explorer
-
On the Existence of Quadratic Control Lyapunov Functions for Koopman-Operator based Bilinear Systems
Quadratic CLFs for Koopman bilinear systems imply constant-input stabilizability, exactly characterized by a QCQP with a convex SDP relaxation as a sufficient test.
-
Dynamic robotic cloth folding with efficient Koopman operator-based model predictive control
Koopman operator regression on physics-simulated cloth data yields a linear surrogate model that enables efficient model predictive control for accurate dynamic folding trajectories on unseen poses in both simulation and real-robot experiments.