Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Andres A. Peters"'
Publikováno v:
IEEE Access, Vol 10, Pp 110459-110472 (2022)
This paper deals with the state estimation and control problem for nonlinear lateral vehicle dynamics with time delays. First, a novel time-varying delay vehicle model described as a Takagi-Sugeno fuzzy model is presented. In particular, it is consid
Externí odkaz:
https://doaj.org/article/3efac1ed4c3143d894423fe0db12660f
Publikováno v:
IEEE Access, Vol 9, Pp 103996-104010 (2021)
This paper studies vehicle platooning with communication channels subject to random data loss. We focus on homogeneous discrete-time platoons in a predecessor-following topology with a constant time headway policy. We assume that each agent in the pl
Externí odkaz:
https://doaj.org/article/085306d0676640fcab3fd36ff7396cbf
Publikováno v:
2021 IEEE CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON).
Publikováno v:
Mathematics, Vol 11, Iss 13, p 2923 (2023)
In this article, we investigate the behavior of vehicle platoons operating in a predecessor-following configuration, implemented through sampled-data control systems. Our primary focus is to examine the potential influence of the sampling time on the
Externí odkaz:
https://doaj.org/article/b2a052c7ba8d42c49bde8f327666593b
Publikováno v:
Mathematics, Vol 11, Iss 5, p 1228 (2023)
This article considers a homogeneous platoon with vehicles that communicate through channels prone to data loss. The vehicles use a predecessor-following topology, where each vehicle sends relevant data to the next, and data loss is modeled through a
Externí odkaz:
https://doaj.org/article/3a12147f8c5c406cb39212a5e43f5d0b
Publikováno v:
Mathematics, Vol 11, Iss 4, p 801 (2023)
This paper uses a line-following approach to study the longitudinal and lateral problems in vehicle platooning. Under this setup, we assume that inter-vehicle distance sensing is unreliable and propose a cooperative control strategy to render the pla
Externí odkaz:
https://doaj.org/article/451bdaa5215f40a9aa5d445a556a7209
Autor:
Adolfo Véliz-Tejo, Juan Carlos Travieso-Torres, Andrés A. Peters, Andrés Mora, Felipe Leiva-Silva
Publikováno v:
Energies, Vol 15, Iss 13, p 4542 (2022)
This manuscript proposes a short tuning march algorithm to estimate induction motors (IM) electrical and mechanical parameters. It has two main novel proposals. First, it starts by presenting a normalized-model reference adaptive system (N-MRAS) that
Externí odkaz:
https://doaj.org/article/9d68a44d62e04ae3a4453d0e89561925
Publikováno v:
Sensors, Vol 21, Iss 6, p 2072 (2021)
In this paper, we present the development of a low-cost multi-agent system experimental platform for teaching, and research purposes. The platform consists of train-like autonomous agents equipped with local speed estimation, distance sensing to thei
Externí odkaz:
https://doaj.org/article/4c4a77518c824c4ba1237da2aed9fbc7