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eess.SY2026
Riemannian Optimization on Unknown Manifolds via Stochastic Proximal Refinement
Ruixiang Wu, Jiahao Ai, Tinko Sebastian Bartels +5
We study Riemannian optimization on an unknown manifold accessed only through feasible samples. The central challenge is to turn feasible samples into optimization steps, i.e., the…
eess.SY2025
Context-Aware Model Predictive Control for Microgrid Energy Management via LLMs
Ruixiang Wu, Jiahao Ai, Tinko Sebastian Bartels +1
The optimal operation of modern microgrids, particularly those integrating stochastic renewable generation and battery energy storage system (BESS), relies heavily on load and dist…
eess.SY2025
InstructMPC: A Human-LLM-in-the-Loop Framework for Context-Aware Control
Ruixiang Wu, Jiahao Ai, Tongxin Li
Model Predictive Control (MPC) is a powerful control strategy widely utilized in domains like energy management, building control, and autonomous systems. However, its effectivenes…