2 papers
eess.SY2025
Chat-Driven Reconfiguration of Model Predictive Control
Yuya Miyaoka, Masaki Inoue, Jos'e M Maestre
Traditional control personalization requires users to understand optimization parameters and provide repetitive numerical feedback, creating significant barriers for non-expert use…
eess.SY2024
Cooperative nonlinear distributed model predictive control with dissimilar control horizons
Paula Chanfreut, José M. Maestre, Quanyan Zhu +1
In this paper, we introduce a nonlinear distributed model predictive control (DMPC) algorithm, which allows for dissimilar and time-varying control horizons among agents, thereby a…