Please use this identifier to cite or link to this item:
|Title:||Rule-based control of Wiener-type nonlinear processes through self-organizing||Authors:||Nie, J.
|Issue Date:||1998||Citation:||Nie, J.,Lee, T.H. (1998). Rule-based control of Wiener-type nonlinear processes through self-organizing. International Journal of Systems Science 29 (3) : 275-286. ScholarBank@NUS Repository.||Abstract:||This paper considers the application of rule-based fuzzy control techniques to the problem of controlling Wiener type nonlinear systems in general and pH neutralization processes in particular. Instead of relying on human experts or a process model to design the controller, we explore the possibility of constructing a controller automatically by a paradigm referred to as active learning from the environment. To be more specific, a rule-based feedback controller is built with the required control rules being self-organized by means of a self-growing adaptive quantization algorithm with the aid of a learning mechanism which provides necessary control information. To overcome the learning difficulty arising from the presence of strong nonlinearity, we propose two schemes to improve the learning process. The simulation results on the control ofa pH process are given.||Source Title:||International Journal of Systems Science||URI:||http://scholarbank.nus.edu.sg/handle/10635/62728||ISSN:||00207721|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Apr 26, 2019
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.