9 citations · 20 across the 7 of their papers we have counts for
8 papers
Dual Representations and Proxy Characterization of Norm for Partial Integral Equations
Danilo Braghini, Tristan Thomas, Sachin Shivakumar +2
Duality and dual representations are essential tools for systems theory and controller synthesis. For any finite-dimensional causal linear time-invariant (CLTI) system, there exist…
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…
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…
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…
Gaussian Process based Stochastic Model Predictive Control for Cooperative Adaptive Cruise Control
Sahand Mosharafian, Mahdi Razzaghpour, Yaser P. Fallah +1
Cooperative driving relies on communication among vehicles to create situational awareness. One application of cooperative driving is Cooperative Adaptive Cruise Control (CACC) tha…
Finite State Markov Modeling of C-V2X Erasure Links For Performance and Stability Analysis of Platooning Applications
Mahdi Razzaghpour, Adwait Datar, Daniel Schneider +5
Cooperative driving systems, such as platooning, rely on communication and information exchange to create situational awareness for each agent. Design and performance of control co…