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Ruikun Zhou

2 accepted papers

2024

Physics-Informed Neural Network Policy Iteration: Algorithms, Convergence, and Verification

ICML 2024poster

Solving nonlinear optimal control problems is a challenging task, particularly for high-dimensional problems. We propose algorithms for model-based policy iterations to solve nonlinear optimal control problems with convergence guarantees. The main component of our approach is an iterative procedure…

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2022

Neural Lyapunov Control of Unknown Nonlinear Systems with Stability Guarantees

NeurIPS 2022accept

Learning for control of dynamical systems with formal guarantees remains a challenging task. This paper proposes a learning framework to simultaneously stabilize an unknown nonlinear system with a neural controller and learn a neural Lyapunov function to certify a region of attraction (ROA) for the…