3 papers
eess.SY2025
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.…
eess.SY2024
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…
cs.RO2024
Nigel -- Mechatronic Design and Robust Sim2Real Control of an Over-Actuated Autonomous Vehicle
Chinmay Vilas Samak, Tanmay Vilas Samak, Javad Mohammadpour Velni +1
Simulation to reality (sim2real) transfer from a dynamics and controls perspective usually involves re-tuning or adapting the designed algorithms to suit real-world operating condi…