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pro vyhledávání: '"Murillo Ferreira dos Santos"'
Autor:
Murillo Ferreira Dos Santos, Accacio Ferreira Dos Santos Neto, Leonardo De Mello Honorio, Mathaus Ferreira Da Silva, Paolo Mercorelli
Publikováno v:
IEEE Access, Vol 11, Pp 9597-9612 (2023)
It is well known that activities in running water or wind and waves expose the Autonomous Surface Vessels (ASVs) to considerable challenges. Under these conditions, it is essential to develop a robust control system that can meet the requirements and
Externí odkaz:
https://doaj.org/article/bb565f6c40aa4647a24de1a72ba964a6
Autor:
Accacio Ferreira dos Santos Neto, Murillo Ferreira dos Santos, Mathaus Ferreira da Silva, Leonardo de Mello Honório, Edimar José de Oliveira, Edvaldo Soares Araújo Neto
Publikováno v:
Sensors, Vol 23, Iss 22, p 9085 (2023)
This paper presents a comparative study that explores the performance of various meta-heuristics employed for Optimal Signal Design, specifically focusing on estimating parameters in nonlinear systems. The study introduces the Robust Sub-Optimal Exci
Externí odkaz:
https://doaj.org/article/5892ce102d564b0598412de519033785
Autor:
Mathaus Ferreira da Silva, Leonardo Mello de Mello Honorio, Murillo Ferreira dos Santos, Accacio Ferreira dos Santos Neto, Nuno Alexandre Cruz, Anibal C. C. Matos, Luis Gustavo Fortes Westin
Publikováno v:
IEEE Access, Vol 9, Pp 5212-5227 (2021)
To gather hydrological measurements is a difficult task for Autonomous Surface Vessels. It is necessary for precise navigation considering underwater obstacles, shallow and fast water flows, and also mitigate misreadings due to disturbs caused by the
Externí odkaz:
https://doaj.org/article/93d7bd4c648a49308eb34e3590914583