3 citations · 6 across the 12 of their papers we have counts for
5 papers · 1 filter
A Distributed Framework for Data-Driven Safe Coordination in Leader-Follower Networks
Mirhan Urkmez, Maryam Sharifi, Shahab Heshmati-Alamdari
This paper addresses connectivity preservation in leader-follower multi-agent systems with unknown control-affine dynamics and local state information. We introduce the distributed…
Distributionally Robust Data-Driven Predictive Control for Stochastic LTI Systems
Mirhan Urkmez, Shahab Heshmati-Alamdari
We propose a distributionally robust data-driven predictive control framework for stochastic linear time-invariant systems with unknown dynamics and disturbance distributions. We u…
Towards Data-driven LQR with Koopmanizing Flows
Petar Bevanda, Max Beier, Shahab Heshmati-Alamdari +2
We propose a novel framework for learning linear time-invariant (LTI) models for a class of continuous-time non-autonomous nonlinear dynamics based on a representation of Koopman o…
Design and Experimental Validation of Tube-based MPC for Timed-constrained Robot Planning
Alexandros Nikou, Shahab Heshmati-alamdari, Dimos V. Dimarogonas
This paper deals with the design and experimental validation of a state-of-the art tube-based Model Predictive Control (MPC) for achieving time-constrained tasks. Given the uncerta…
Decentralized Abstractions and Timed Constrained Planning of a General Class of Coupled Multi-Agent Systems
Alexandros Nikou, Shahab Heshmati-alamdari, Christos Verginis +1
This paper presents a fully automated procedure for controller synthesis for a general class of multi-agent systems under coupling constraints. Each agent is modeled with dynamics…