Zobrazeno 1 - 10
of 101
pro vyhledávání: '"Jiangtao Cao"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-16 (2024)
Abstract To address the issue of low accuracy in soft sensor modeling of key variables caused by multi-variable coupling and parameter sensitivity in complex processes, this paper introduces a TSK-type-based self-evolving compensatory interval type-2
Externí odkaz:
https://doaj.org/article/eaedfeeaaf7142618e1708e83e83b502
Publikováno v:
IEEE Access, Vol 7, Pp 10415-10427 (2019)
For a class of discrete-time Markovian jump linear systems subject to operation mode disordering, a robust model predictive control method can be proposed to solve this issue. A bijective mapping scheme between the original random process and a new r
Externí odkaz:
https://doaj.org/article/11c3fb4a4e604b5a8556007ac7d41011
Publikováno v:
Complexity, Vol 2019 (2019)
A delay-range-dependent robust constrained model predictive control is proposed for discrete-time system with uncertainties and unknown disturbances. The dynamic characteristic of the discrete-time system is established as a new extended state space
Externí odkaz:
https://doaj.org/article/af7433eaae7e4058927ec8c2b67ef08e
Publikováno v:
Measurement + Control, Vol 51 (2018)
This paper presents the double-layered nonlinear model predictive control method for a continuously stirred tank reactor and a pH neutralization process that are subject to input disturbances and output disturbances at the same time. The nonlinear sy
Externí odkaz:
https://doaj.org/article/72d22b0f6dfc4e689f025fee1913961e
Publikováno v:
Information, Vol 8, Iss 4, p 116 (2017)
Multivariable coupling, nonlinear and large time delays exist in the coil outlet temperature (COT) control system of the ethylene cracking furnace, which make it hard to achieve accurate control over the COT of the furnace in actual production. To so
Externí odkaz:
https://doaj.org/article/775e8ef2c3dd4aba874870a8b8c427f1
Publikováno v:
In Process Safety and Environmental Protection May 2020 137:1-7
Publikováno v:
ISA Transactions. 137:144-159
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::472c4c216b27d9750d8b4ec6ddf34238
https://doi.org/10.1016/j.isatra.2023.01.011
https://doi.org/10.1016/j.isatra.2023.01.011
Publikováno v:
Information Sciences. 629:123-143
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c524602dbfb055b062b4e99b8e65d3d7
https://doi.org/10.1016/j.ins.2023.01.134
https://doi.org/10.1016/j.ins.2023.01.134
Publikováno v:
International Journal of Automation and Computing. 18:300-310
Recently, video-based fire detection technology has become an important research topic in the field of machine vision. This paper proposes a method of combining the classification model and target detection model in deep learning for fire detection.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::63fb45c575457e8a4a5534093b91e6c0
https://doi.org/10.1007/s11633-020-1269-5
https://doi.org/10.1007/s11633-020-1269-5
Publikováno v:
International Journal of Robust and Nonlinear Control. 31:87-106
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::408eec2669e828edf3c9c4447424f09b
https://doi.org/10.1002/rnc.5263
https://doi.org/10.1002/rnc.5263