Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Omar Serrano-Perez"'
Publikováno v:
IEEE Access, Vol 9, Pp 138976-138993 (2021)
The fusion of bio-inspired algorithms into online controller tuning (adaptive controller tuning) is one of the main topics in Intelligent Control. One crucial issue is to reduce the times that the tuning process performs over time. In this work, a no
Externí odkaz:
https://doaj.org/article/db951ab0c7c64c8499da17855d1a8800
Autor:
Alejandro Rodríguez-Molina, Miguel Gabriel Villarreal-Cervantes, Omar Serrano-Pérez, José Solís-Romero, Ramón Silva-Ortigoza
Publikováno v:
Mathematics, Vol 10, Iss 12, p 1977 (2022)
The efficiency in the controller performance of a BLDC motor in an uncertain environment highly depends on the adaptability of the controller gains. In this paper, the chaotic adaptive tuning strategy for controller gains (CATSCG) is proposed for the
Externí odkaz:
https://doaj.org/article/7a170866c0314a2b8808914e61dc1768
Autor:
Alejandro Rodríguez-Molina, José Solís-Romero, Miguel Gabriel Villarreal-Cervantes, Omar Serrano-Pérez, Geovanni Flores-Caballero
Publikováno v:
Mathematics, Vol 9, Iss 4, p 357 (2021)
Mobile robots are currently exploited in various applications to enhance efficiency and reduce risks in hard activities for humans. The high autonomy in those systems is strongly related to the path-planning task. The path-planning problem is complex
Externí odkaz:
https://doaj.org/article/66fe4e4123c146a5a8b45396449a9c0e