Zobrazeno 1 - 10
of 94
pro vyhledávání: '"Lingjian Ye"'
Publikováno v:
IEEE Access, Vol 12, Pp 80633-80645 (2024)
For deep learning based soft sensors, the spatiotemporal attention (STA)-LSTM is a newly emerged technique which provides efficient predictions for quality variables of industrial processes. However, the STA-LSTM methods calls for an enormous network
Externí odkaz:
https://doaj.org/article/a8e629f0c8444568adf3d6051dc5c57c
Publikováno v:
IEEE Access, Vol 11, Pp 44600-44613 (2023)
Self-optimizing control (SOC) aiming to select most appropriate controlled variables (CVs), is a promising control strategy in the field of real-time optimization. An approach, global self-optimizing control (gSOC) was proposed to find globally optim
Externí odkaz:
https://doaj.org/article/9639c05ead354da1ac13d96f15016cd1
Publikováno v:
Heliyon, Vol 9, Iss 1, Pp e12934- (2023)
For control structure design of the industrial off-gas benchmark system, application of the Skogestad's state-of-art design procedure has suggested the scrubber inlet pressure (Psi in the roaster) and one of the fan speeds (Nfan1 or N_fan2 in the fur
Externí odkaz:
https://doaj.org/article/1e65fa298e38497eb445247c5f05c2ae
Publikováno v:
Frontiers in Neurorobotics, Vol 16 (2022)
During task execution, the autonomous robots would likely pass through many narrow corridors along with mobile obstacles in dynamically complex environments. In this case, the off-line path planning algorithm is rather difficult to be directly implem
Externí odkaz:
https://doaj.org/article/9fe41efc3e7b4ebfadc81ff95bcebf4b
Publikováno v:
IEEE Access, Vol 9, Pp 72172-72182 (2021)
To predict key variables of complicated batch processes, the long short-term memory (LSTM) soft sensor is developed to deal with both data nonlinearity and dynamics. To extract proper historical samples and implement the real-time modeling scheme wit
Externí odkaz:
https://doaj.org/article/260076fa1daa428896a885bc36af0d1b
Publikováno v:
IEEE Access, Vol 8, Pp 73855-73864 (2020)
To implement the quality prediction scheme for batch processes, long short-term memory (LSTM) neural network is a feasible tool to handle with the process dynamics and nonlinearity. However, a global LSTM soft sensor suffers a decline in performance
Externí odkaz:
https://doaj.org/article/e9611c743172412aa02cfeeb80c79721
Publikováno v:
IEEE Access, Vol 8, Pp 43122-43133 (2020)
In this paper, we consider iterative learning control for trajectory tracking of robotic manipulator with uncertainty. An improved quadratic-criterion-based iterative learning control approach (Q-ILC) is proposed to obtain better trajectory tracking
Externí odkaz:
https://doaj.org/article/42022d6bebd844e580072529d0c43e9f
Publikováno v:
Frontiers in Public Health, Vol 9 (2021)
As global public health is under threat by the 2019-nCoV and a potential new wave of large-scale epidemic outbreak and spread is looming, an imminent question to ask is what the optimal strategy of epidemic prevention and control (P&C) measures would
Externí odkaz:
https://doaj.org/article/769a5be99b5641d682dc5315b14abba6
Publikováno v:
Complexity, Vol 2020 (2020)
Since the outbreak of the novel coronavirus disease (COVID-19) at the beginning of December 2019, there have been more than 28.69 million cumulative confirmed cases worldwide as of 12th September 2020, affecting over 200 countries and regions with mo
Externí odkaz:
https://doaj.org/article/4f087e5ca6804187a2243c2e4eb4c44f
Publikováno v:
ACS Omega. 8:14558-14571
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::89f207421465743c5e82fbeef52c2c84
https://doi.org/10.1021/acsomega.3c00293
https://doi.org/10.1021/acsomega.3c00293