Angelov, Plamen (2004) A fuzzy controller with evolving structure. Information Sciences, 161 (1-2). pp. 21-35. ISSN 0020-0255Full text not available from this repository.
An approach to on-line design of fuzzy controllers of Takagi-Sugeno type with gradually evolving structure is treated in the paper. Fuzzy rules, representing the structure of the controller are generated based on data collected during the process of control using newly introduced technique for on-line identification of Takagi-Sugeno systems. The output of the plant under control (including its dynamic) and the respective control signal has been memorised and stored in on-line mode. These data has been used to train in a non-iterative, recursive way the fuzzy controller. The indirect adaptive control approach has been used in combination with the novel on-line identification technique. This approach exploits the quasi-linear nature of Takagi-Sugeno models and builds-up the control rule-base structure and adapts it in on-line mode with recursive, non-iterative learning. The method is illustrated with an example from air-conditioning systems, though it has wider potential applications.
|Journal or Publication Title:||Information Sciences|
|Additional Information:||The final, definitive version of this article has been published in the Journal, Information Sciences 161 (1-2), 2004, © ELSEVIER.|
|Uncontrolled Keywords:||evolving fuzzy rule-based systems ; indirect adaptive control ; on-line clustering ; on-line identification ; recursive least squares estimation ; DCS-publications-id ; art-586 ; DCS-publications-credits ; dsp-fa ; DCS-publications-personnel-id ; 82|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science|
|Departments:||Faculty of Science and Technology > School of Computing & Communications|
|Deposited By:||Dr. Plamen Angelov|
|Deposited On:||08 Jan 2008 14:33|
|Last Modified:||27 Mar 2017 03:50|
Actions (login required)