Postlethwaite, Bruce (1991) Empirical comparison of methods of fuzzy relational identification. IEE Proceedings Control Theory and Applications, 138 (3). pp. 199-206.Full text not available in this repository. (Request a copy from the Strathclyde author)
A number of methods have been proposed for the identification and self learning of relational fuzzy models. The paper compares some of the methods and looks at their tolerance to noise and to the choice of initial fuzzy ranges. Data from runs of a simulated fed-batch fermenter are used as a test case. The results show that identified relational models can give as good results as rule-based models and can be made to be very tolerant of noise in the identification data.
|Keywords:||modelling, noise, interference, Chemical engineering, Instrumentation, Control and Systems Engineering, Electrical and Electronic Engineering|
|Subjects:||Technology > Chemical engineering|
|Department:||Faculty of Engineering > Chemical and Process Engineering|
|Depositing user:||Dr. Bruce Postlethwaite|
|Date Deposited:||29 Jun 2010 08:47|
|Last modified:||06 Jan 2017 08:04|