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|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
|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|
|Appears in Collections:||Conference Papers (Civil and Building Engineering)|
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