From the 2 of 4 linked papers with an AI index.
4 papers
Characterizing Robustness in Nonlinear Optimal Control: From Stability to Optimality
Yicheng Lin, Zhisheng Duan, Tianzhi Li +3
The paper studies how errors between learned models and real nonlinear systems affect the stability and performance of data‑driven optimal controllers, providing Lyapunov‑based rob…
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.
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…
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…