3 papers
eess.SY2026
Data-Driven Spiking Control for Distributed -Nash Equilibrium Seeking
Linqi Wang, Wei Xiao, Yuzhou Wei +3
This paper studies how a feedback law synthesized directly from data can be realized by spiking control while retaining a game-theoretic performance guarantee. We consider distribu…
cs.RO2025
Safety Meets Speed: Accelerated Neural MPC with Safety Guarantees and No Retraining
Kaikai Wang, Tianxun Li, Liang Xu +2
While Model Predictive Control (MPC) enforces safety via constraints, its real-time execution can exceed embedded compute budgets. We propose a Barrier-integrated Adaptive Neural M…
math.OC2024
Reliably Learn to Trim Multiparametric Quadratic Programs via Constraint Removal
Zhinan Hou, Keyou You
In a wide range of applications, we are required to rapidly solve a sequence of convex multiparametric quadratic programs (mp-QPs) on resource-limited hardwares. This is a nontrivi…