3 citations · 3 across the 8 of their papers we have counts for
6 papers · 1 filter
Distributed Switching Model Predictive Control Meets Koopman Operator for Dynamic Obstacle Avoidance
Ali Azarbahram, Chrystian Pool Yuca Huanca, Gian Paolo Incremona +1
This paper introduces a Koopman-enhanced distributed switched model predictive control (SMPC) framework for safe and scalable navigation of quadrotor unmanned aerial vehicles (UAVs…
Koopman-Based Dynamic Environment Prediction for Safe UAV Navigation
Vitor Bueno, Ali Azarbahram, Marcello Farina +1
This paper presents a Koopman-based model predictive control (MPC) framework for safe UAV navigation in dynamic environments using real-time LiDAR data. By leveraging the Koopman o…
Distributed Koopman Operator Learning for Perception and Safe Navigation
Ali Azarbahram, Shenyu Liu, Gian Paolo Incremona
This paper presents a unified and scalable framework for predictive and safe autonomous navigation in dynamic transportation environments by integrating model predictive control (M…
Distributed Koopman Operator Learning from Sequential Observations
Ali Azarbahram, Shenyu Liu, Gian Paolo Incremona
This paper presents a distributed Koopman operator learning framework for modeling unknown nonlinear dynamics using sequential observations from multiple agents. Each agent estimat…
Secure Dynamic Event-triggered Consensus Under Asynchronous Denial of Service
Ali Azarbahram, Amir Amini
This article proposes a secure implementation for consensus using a dynamic event-triggered (DET) communication scheme in high-order nonlinear multi-agent systems (MAS) under async…
Tracking Consensus of Networked Random Nonlinear Multi-agent Systems with Intermittent Communications
Ali Azarbahram
The paper proposes an intermittent communication mechanism for the tracking consensus of high-order nonlinear multi-agent systems (MASs) surrounded by random disturbances. Each col…