Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Taoyan Zhao"'
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:
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:
ISA Transactions. 137:144-159
Publikováno v:
Information Sciences. 629:123-143
Publikováno v:
Processes; Volume 11; Issue 5; Pages: 1304
An interval type-2 fuzzy set and fuzzy Petri net combined risk assessment model for chemical production was proposed to solve the problems of disorganized hierarchy and poorly targeted measures, as well as the requirement for complex equipment associ
Publikováno v:
7th International Symposium on Advances in Electrical, Electronics, and Computer Engineering.
Publikováno v:
2nd International Conference on Applied Mathematics, Modelling, and Intelligent Computing (CAMMIC 2022).
Publikováno v:
ISA Transactions. 84:237-246
This study introduces a novel self-organizing recurrent interval type-2 fuzzy neural network (SRIT2FNN) for the construction of a soft sensor model for a complex chemical process. The proposed SRIT2FNN combines interval type-2 fuzzy logic systems (IT
Design of interval type-2 fuzzy fractional order PID controller based on particle swarm optimization
Autor:
Hao Wu, Taoyan Zhao
Publikováno v:
Journal of Physics: Conference Series. 2258:012063
In this paper, an interval type-2 fuzzy fractional order PID controller (IT2F-FOPIDC) based on particle swarm optimization is proposed. The proposed controller has two adjustable degree of freedom parameters, so the control range of the controller pa
Publikováno v:
Soft Computing. 23:7215-7228
For the identification and modelling problems of a nonlinear system with complex uncertainties, a self-organising interval type-2 fuzzy neural network structure with asymmetric membership functions (SIT2FNN-AMF) is developed. First, a fuzzy c-means a