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20232026
most citedBenign Nonconvex Landscapes in Optimal and Robust Control, Part I: Global Optimality

1 citations · 1 across the 6 of their papers we have counts for

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math.OC2026

Online Tracking with Predictions for Nonlinear Systems with Koopman Linear Embedding

Chih-Fan Pai, Xu Shang, Jiachen Qian +1

We study the problem of online tracking in unknown nonlinear dynamical systems, where only short-horizon predictions of future target states are available. This setting arises in p…

math.OC2026

Policy Optimization of Mixed H2/H-infinity Control: Benign Nonconvexity and Global Optimality

Chih-Fan Pai, Yuto Watanabe, Yujie Tang +1

Mixed H2/H-infinity control balances performance and robustness by minimizing an H2 cost bound subject to an H-infinity constraint. However, classical Riccati/LMI solutions offer l…

math.OC2025

Semidefinite Programming Duality in Infinite-Horizon Linear Quadratic Differential Games

Yuto Watanabe, Chih-Fan Pai, Yang Zheng

Semidefinite programs (SDPs) play a crucial role in control theory, traditionally as a computational tool. Beyond computation, the duality theory in convex optimization also provid…

math.OC2024

Benign Nonconvex Landscapes in Optimal and Robust Control, Part II: Extended Convex Lifting

Yang Zheng, Chih-Fan Pai, Yujie Tang

Many optimal and robust control problems are nonconvex and potentially nonsmooth in their policy optimization forms. In Part II of this paper, we introduce a new and unified Extend…

math.OC2023★ 1 cited

Benign Nonconvex Landscapes in Optimal and Robust Control, Part I: Global Optimality

Yang Zheng, Chih-fan Pai, Yujie Tang

Direct policy search has achieved great empirical success in reinforcement learning. Many recent studies have revisited its theoretical foundation for continuous control, which rev…