approximation error 1data-driven control 1koopman operator 1nonlinear systems 1optimality deviation 1
From the 1 of 3 linked papers with an AI index.
3 papers
math.OC2026
Optimality Deviation using the Koopman Operator
Yicheng Lin, Bingxian Wu, Nan Bai +2
The paper derives explicit upper bounds on how approximation errors in data‑driven Koopman operator models affect the optimal controller and value function for nonlinear systems.
eess.SY2026
Optimality Robustness in Koopman-Based Control
Yicheng Lin, Bingxian Wu, Nan Bai +3
The Koopman operator enables simplified representations for nonlinear systems in data-driven optimal control, but the accompanying uncertainties inevitably induce deviations in the…
eess.SY2025
Integrating Uncertainties for Koopman-Based Stabilization
Yicheng Lin, Bingxian Wu, Nan Bai +4
Over the past decades, the Koopman operator has been widely applied in data-driven control, yet its theoretical foundations remain underexplored. This paper establishes a unified f…