9 citations · 20 across the 7 of their papers we have counts for
4 papers · 1 filter
Distributed Model Predictive Control Design for Multi-agent Systems via Bayesian Optimization
Hossein Nejatbakhsh Esfahani, Kai Liu, Javad Mohammadpour Velni
This paper introduces a new approach that leverages Multi-agent Bayesian Optimization (MABO) to design Distributed Model Predictive Control (DMPC) schemes for multi-agent systems.…
Adaptive Uncertainty Quantification for Scenario-based Control Using Meta-learning of Bayesian Neural Networks
Yajie Bao, Javad Mohammadpour Velni
Scenario-based optimization and control has proven to be an efficient approach to account for system uncertainty. In particular, the performance of scenario-based model predictive…
Eco-driving Trajectory Planning of a Heterogeneous Platoon in Urban Environments
Hao Zhen, Sahand Mosharafian, Jidong J. Yang +1
Given the increasing popularity and demand for connected and autonomous vehicles (CAVs), Eco-driving and platooning in highways and urban areas to increase the efficiency of the tr…
A Deep Reinforcement Learning-based Sliding Mode Control Design for Partially-known Nonlinear Systems
Sahand Mosharafian, Shirin Afzali, Yajie Bao +1
Presence of model uncertainties creates challenges for model-based control design, and complexity of the control design is further exacerbated when coping with nonlinear systems. T…