Zobrazeno 1 - 10
of 52
pro vyhledávání: '"Aspeel, A."'
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 gain of the system remains under a threshold. By using causal factoriza
Externí odkaz:
http://arxiv.org/abs/2408.04012
Due to their flexibility to represent almost any kind of relational data, graph-based models have enjoyed a tremendous success over the past decades. While graphs are inherently only combinatorial objects, however, many prominent analysis tools are b
Externí odkaz:
http://arxiv.org/abs/2403.15023
Autor:
Aspeel, Antoine, Ozay, Necmiye
This paper introduces a simulation preorder among lifted systems, a generalization of finite-dimensional Koopman approximations (also known as approximate immersions) to systems with inputs. It is proved that this simulation relation implies the cont
Externí odkaz:
http://arxiv.org/abs/2401.14909
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 controller that can be implemented with a minimum number of sensor-to-
Externí odkaz:
http://arxiv.org/abs/2311.08998
Koopman liftings have been successfully used to learn high dimensional linear approximations for autonomous systems for prediction purposes, or for control systems for leveraging linear control techniques to control nonlinear dynamics. In this paper,
Externí odkaz:
http://arxiv.org/abs/2306.07113
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 intermittent filters, whose optimality criteria depend on the information
Externí odkaz:
http://arxiv.org/abs/2204.06265
This paper addresses the problem of robust control of a linear discrete-time system subject to bounded disturbances and to measurement and control budget constraints. Using Q-parameterization and a polytope containment method, we prove that the co-de
Externí odkaz:
http://arxiv.org/abs/2109.10666
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 carefully selected. A discrete stochastic nonlinear dynamical system
Externí odkaz:
http://arxiv.org/abs/2005.08557
Publikováno v:
Proc. SPIE 10951, Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling, 109510C (8 March 2019)
In radiation therapy, tumor tracking is a challenging task that allows a better dose delivery. One practice is to acquire X-ray images in real-time during treatment, that are used to estimate the tumor location. These informations are used to predict
Externí odkaz:
http://arxiv.org/abs/1903.08990
In machine learning or statistics, it is often desirable to reduce the dimensionality of a sample of data points in a high dimensional space $\mathbb{R}^d$. This paper introduces a dimensionality reduction method where the embedding coordinates are t
Externí odkaz:
http://arxiv.org/abs/1711.07271