Modeling and identification of nonlinear systems: A review of the multimodel approach—Part 1
AA Adeniran, S El Ferik - IEEE Transactions on Systems, Man …, 2016 - ieeexplore.ieee.org
The efficacy of the multimodel framework (MMF) in modeling and identification of complex,
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …
nonlinear, and uncertain systems has been widely recognized in the literature owing to its …
基于满意模糊聚类的热工过程多模型建模方法.
朱红霞， 沈炯， 李益国 - … & Control/Dianji Yu Kongzhi Xuebao, 2016 - search.ebscohost.com
由于热工过程往往具有非线性和不确定性, 传统的线性建模方法难以精确表达其复杂特性.
因此提出一种改进的基于满意模糊聚类的多模型建模方法. 该方法不需要预先指定局部模型的个 …
因此提出一种改进的基于满意模糊聚类的多模型建模方法. 该方法不需要预先指定局部模型的个 …
Nonlinear system identification of pH process using Hammerstein-Wiener model
R Rattanawaorahirunkul, P Sanposh… - 2016 international …, 2016 - ieeexplore.ieee.org
This research proposes comparing results from identification of pH process which is a multi-
input multi-output (MIMO) system. The experiments have been carried out by feeding …
input multi-output (MIMO) system. The experiments have been carried out by feeding …
Meta-Modelling of Intensive Computational Models
H Bashar - 2016 - etheses.whiterose.ac.uk
Engineering process design for applications that use computationally intensive nonlinear
dynamical systems can be expensive in time and resources. The presented work reviews …
dynamical systems can be expensive in time and resources. The presented work reviews …