Zobrazeno 1 - 10
of 661
pro vyhledávání: '"Puig, Vicenc¸"'
Leakage in water systems results in significant daily water losses, degrading service quality, increasing costs, and aggravating environmental problems. Most leak localization methods rely solely on pressure data, missing valuable information from ot
Externí odkaz:
http://arxiv.org/abs/2412.11687
The rapid advancements in autonomous vehicle software present both opportunities and challenges, especially in enhancing road safety. The primary objective of autonomous vehicles is to reduce accident rates through improved safety measures. However,
Externí odkaz:
http://arxiv.org/abs/2410.02469
This paper proposes a joint gain and input design method for observer-based asymptotic active fault diagnosis, which is based on a newly-defined notion named the excluding degree of the origin from a zonotope. Using the excluding degree, a quantitati
Externí odkaz:
http://arxiv.org/abs/2406.09061
Switching LPV Approach for Analysis and Control of TCP-based Cyber-Physical Systems under DoS Attack
Autor:
Barchinezhad, Soheila, Puig, Vicenç
Cyberphysical systems (CPSs) integrate controllers, sensors, actuators, and communication networks. Tight integration with communication networks makes CPSs vulnerable to cyberattacks. In this paper, we investigate the impact of denial of service (Do
Externí odkaz:
http://arxiv.org/abs/2312.02939
This article presents a leak localization methodology based on state estimation and learning. The first is handled by an interpolation scheme, whereas dictionary learning is considered for the second stage. The novel proposed interpolation technique
Externí odkaz:
http://arxiv.org/abs/2304.10932
Autor:
Morcego, Bernardo, Yin, Wenjie, Boersma, Sjoerd, van Henten, Eldert, Puig, Vicenç, Sun, Congcong
Greenhouse is an important protected horticulture system for feeding the world with enough fresh food. However, to maintain an ideal growing climate in a greenhouse requires resources and operational costs. In order to achieve economical and sustaina
Externí odkaz:
http://arxiv.org/abs/2303.06110
Publikováno v:
2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 100-105, October, 2022, Prague, Czech Republic
A Nonlinear Model Predictive Control (NMPC) strategy aimed at controlling a small-scale car model for autonomous racing competitions is presented in this paper. The proposed control strategy is concerned with minimizing the lap time while keeping the
Externí odkaz:
http://arxiv.org/abs/2302.04722
This paper presents an approach to ensure conditions on Variable Impedance Controllers through the off-line tuning of the parameters involved in its description. In particular, we prove its application to term modulations defined by a Learning from D
Externí odkaz:
http://arxiv.org/abs/2209.10244