8 citations · 20 across the 10 of their papers we have counts for
6 papers · 1 filter
Minimal L2-Consistent Data-Transmission
Antoine Aspeel, Laurent Bako, Necmiye Ozay
In this work, we consider non-collocated sensors and actuators, and we address the problem of minimizing the number of sensor-to-actuator transmissions while ensuring that the L2 g…
A Simulation Preorder for Koopman-like Lifted Control Systems
Antoine Aspeel, Necmiye Ozay
This paper introduces a simulation preorder among lifted systems, a generalization of finite-dimensional Koopman approximations (also known as approximate immersions) to systems wi…
A Low Rank Approach to Minimize Sensor-to-Actuator Communication in Finite Horizon Output Feedback
Antoine Aspeel, Jakob Nylof, Jing Shuang Li +1
Many modern controllers are composed of different components that communicate in real-time over some network with limited resources. In this work, we are interested in designing a…
Koopman-inspired Implicit Backward Reachable Sets for Unknown Nonlinear Systems
Haldun Balim, Antoine Aspeel, Zexiang Liu +1
Koopman liftings have been successfully used to learn high dimensional linear approximations for autonomous systems for prediction purposes, or for control systems for leveraging l…
Optimal Intermittent Particle Filter
Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers +1
The problem of the optimal allocation (in the expected mean square error sense) of a measurement budget for particle filtering is addressed. We propose three different optimal inte…
Optimal measurement budget allocation for particle filtering
Antoine Aspeel, Amaury Gouverneur, Raphaël M. Jungers +1
Particle filtering is a powerful tool for target tracking. When the budget for observations is restricted, it is necessary to reduce the measurements to a limited amount of samples…