Zobrazeno 1 - 10
of 1 230
pro vyhledávání: '"A. Liberis"'
Autor:
Delis, A. I., Bekiaris-Liberis, N.
This work aims to provide an approach to the macroscopic modeling and simulation of pedestrian flow, coupled with contagion spreading, towards numerical investigation of the effect of certain, macro-control measures on epidemics transport dynamics. T
Externí odkaz:
http://arxiv.org/abs/2411.16223
We develop a backstepping control design for a class of continuum systems of linear hyperbolic PDEs, described by a coupled system of an ensemble of rightward transporting PDEs and a (finite) system of $m$ leftward transporting PDEs. The key analysis
Externí odkaz:
http://arxiv.org/abs/2410.22067
We develop an input delay-compensating feedback law for linear switched systems with time-dependent switching. Because the future values of the switching signal, which are needed for constructing an exact predictor-feedback law, may be unavailable at
Externí odkaz:
http://arxiv.org/abs/2410.22044
We perform various numerical tests to study the effect of (boundary) stenosis on blood flow stability, employing a detailed and accurate, second-order finite-volume scheme for numerically implementing a partial differential equation (PDE) model, usin
Externí odkaz:
http://arxiv.org/abs/2408.01058
Publikováno v:
Systems & Control Letters 196 (2025) 105982
We provide two methods for computation of continuum backstepping kernels that arise in control of continua (ensembles) of linear hyperbolic PDEs and which can approximate backstepping kernels arising in control of a large-scale, PDE system counterpar
Externí odkaz:
http://arxiv.org/abs/2406.13612
We develop a switched predictor-feedback law, which achieves global asymptotic stabilization of linear systems with input delay and with the plant and actuator states available only in (almost) quantized form. The control design relies on a quantized
Externí odkaz:
http://arxiv.org/abs/2404.11194
We establish that stabilization of a class of linear, hyperbolic partial differential equations (PDEs) with a large (nevertheless finite) number of components, can be achieved via employment of a backstepping-based control law, which is constructed f
Externí odkaz:
http://arxiv.org/abs/2403.19455
Publikováno v:
Eng, Vol 5, Iss 3, Pp 1641-1656 (2024)
Rail traction and resistance play an essential role in the efficient operation of rail systems. The nature of traction is based on the balance between static friction and generated force at the perimeter of the driving wheels. The main objective of t
Externí odkaz:
https://doaj.org/article/8f5dd6348ad3405f889df900c88d060d
Autor:
Liberis, Edgar, Lane, Nicholas D.
Embedded and IoT devices, largely powered by microcontroller units (MCUs), could be made more intelligent by leveraging on-device deep learning. One of the main challenges of neural network inference on an MCU is the extremely limited amount of read-
Externí odkaz:
http://arxiv.org/abs/2211.17246
Publikováno v:
In Systems & Control Letters February 2025 196