Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Jose Nuno A. D. Bueno"'
Publikováno v:
IEEE Access, Vol 9, Pp 139352-139360 (2021)
We present a robust recursive framework for the regulation of discrete-time linear systems subject to polytopic uncertainties. Based on regularized least-squares with a penalty parameter, we formulate a convex optimization problem and weight the poly
Externí odkaz:
https://doaj.org/article/4c5a4c0765884068bb1b7804171ca48c
Publikováno v:
IEEE Transactions on Automatic Control. 67:6279-6286
Publikováno v:
2022 IEEE 61st Conference on Decision and Control (CDC).
Publikováno v:
2022 European Control Conference (ECC).
Publikováno v:
2022 30th Mediterranean Conference on Control and Automation (MED).
Publikováno v:
2022 30th Mediterranean Conference on Control and Automation (MED).
Publikováno v:
IEEE Access, Vol 9, Pp 139352-139360 (2021)
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
We present a robust recursive framework for the regulation of discrete-time linear systems subject to polytopic uncertainties. Based on regularized least-squares with a penalty parameter, we formulate a convex optimization problem and weight the poly
Publikováno v:
2021 IEEE URUCON.
Publikováno v:
LARS/SBR/WRE
This paper addresses the lateral control problem for autonomous ground vehicles. In order to better capture the behavior of lateral dynamics, the model is subject to polytopic uncertainties based on different road and load conditions. These uncertain
Autor:
Marco H. Terra, Gustavo P. Morais, Valdir Grassi, Jose Nuno A. D. Bueno, Lucas Barbosa Marcos, Nilo F. de Resende
Publikováno v:
Control Engineering Practice. 104:104630
Given the recent advances in computer vision, image processing and control systems, self-driving vehicles has been one of the most promising and challenging research topics nowadays. The design of vision-based robust controllers to keep an autonomous