Loughborough University
Leicestershire, UK
LE11 3TU
+44 (0)1509 263171
Loughborough University

Loughborough University Institutional Repository

Please use this identifier to cite or link to this item: https://dspace.lboro.ac.uk/2134/10190

Title: Evolving rules-based control
Authors: Angelov, Plamen
Buswell, Richard A.
Wright, Jonathan A.
Loveday, Dennis L.
Keywords: Evolving fuzzy rule-based models
Indirect adaptive control
On-line adaptation
Air-conditioning systems
Issue Date: 2001
Publisher: European Symposium on Intelligent Technologies, Hybrid Systems and their Implementation on Smart Adaptive Systems [EUNITE]
Citation: ANGELOV, P. ... et al., 2001. Evolving rules-based control. IN: Proceedings of the EUNITE Symposium, Tenerife, Spain, 13 - 14 December 2001, pp. 36 - 41
Abstract: An approach to control non-linear objects based on evolving Rule-based (eR) models is presented 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 type of fuzzy rule-based models. Initially, the process is supposed to be controlled for few time steps by any other conventional type of controller (P, PID or a fuzzy one with a fixed structure determined off-line). Then, in on-line mode the output of the plant under control (including its dynamic) and the respective control signal applied has been memorised and stored. These data has been used to train in a non-iterative way the eR model representing the fuzzy controller, which aim is to control the plant at a given set point. The indirect adaptive control approach has been used in combination with the newly introduced on-line identification technique based on unsupervised learning of antecedent and consequent parts separately. 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. The method is illustrated with an example from air-conditioning systems, though it has wider potential applications.
Description: This is a conference paper.
Version: Accepted for publication
URI: https://dspace.lboro.ac.uk/2134/10190
Appears in Collections:Conference Papers and Presentations (Architecture, Building and Civil Engineering)

Files associated with this item:

File Description SizeFormat
Angelov2001_EUNITE_EvolvingRulesBasedControl.pdf107.4 kBAdobe PDFView/Open


SFX Query

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.