Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Viola, Jairo"'
Publikováno v:
In ISA Transactions July 2024 150:322-337
Publikováno v:
In IFAC PapersOnLine 2024 58(12):466-471
Publikováno v:
In IFAC PapersOnLine 2024 58(12):341-346
Publikováno v:
In IFAC PapersOnLine 2024 58(12):203-208
Failure detection is employed in the industry to improve system performance and reduce costs due to unexpected malfunction events. So, a good dataset of the system is desirable for designing an automated failure detection system. However, industrial
Externí odkaz:
http://arxiv.org/abs/2008.00930
Digital Twin is a breaking technology that allows creating virtual representations of complex physical systems based on updated information of the system and its physical laws. However, making the Digital Twin behavior matching with the real system c
Externí odkaz:
http://arxiv.org/abs/2007.03676
Digital Twin Enabled Smart Control Engineering as an Industrial AI: A New Framework and A Case Study
Autor:
Viola, Jairo, Chen, YangQuan
In the way towards Industry 4.0, the complexity of the industrial systems increases due to the presence of multiple agents, Cyber-Physical Systems, distributed sensing, and big data introducing unknown dynamics that affect the production goals of the
Externí odkaz:
http://arxiv.org/abs/2007.03677
Thermal processes are one of the most common systems in the industry, making its understanding a mandatory skill for control engineers. So, multiple efforts are focused on developing low-cost and portable experimental training rigs recreating the the
Externí odkaz:
http://arxiv.org/abs/2007.03048
This paper presents the design of multivariable temperature control for a refrigeration system based on vapor compression employing the internal model control technique. The refrigeration system is based on the PID18 benchmark, which is a $2\times 2$
Externí odkaz:
http://arxiv.org/abs/1810.06074