الباحثون

Ján Drgoňa

المنشورات 2

نسخة أولية وصول مفتوح

Model Predictive Control for Safety-Critical Systems Using Taylor's Theorem with Lagrange Remainder

Shuo Liu, Liang Wu, Wei Xiao وآخرون · 2026

Safety-critical Model Predictive Control (MPC) formulations based on Control Barrier Functions (CBFs) often require multiple tuning parameters and may become conservative or difficult to keep feasible, particularly for high-relative-degree constraints. To address these limitations, in this paper we draw inspiration fro …

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DR-MPC: Fast and Feasible Dynamics-Relaxed Model-Predictive Control for Legged Locomotion

Run Wang, Alapati Tuerxun, Shuo Liu وآخرون · 2026

This paper presents dynamics-relaxed model predictive control (DR-MPC), a novel MPC formulation for legged locomotion, and a tailored interior-point method (IPM) solver. The formulation combines online optimization feasibility by construction with a contact-aware input parameterization. DR-MPC moves the dynamics equali …

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