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Adaptive Rule-Based Reasoning by Qualitative Analysis

Domenii publicaţii > Stiinte ingineresti + Tipuri publicaţii > Capitol de carte

Autori: Marius M. Balas, Valentina E. Balas

Editorial: E. Hullermeier, R. Kruse, F. Hoffman (Eds.), Springer-Verlag, Berlin –Heidelberg , 13 International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28- July 2, Proceedings, Part I, Communications in Computer and Information Science, Volume 80, Part 3, Part 11, p.553-560, 2010.

Rezumat:

In some previous papers we presented a
fuzzy-interpolative self-adaptive control
architecture that is able to identify the
current operating regime of the system
by means of a qualitative analyze of the
phase trajectory of the error. In this
paper we are extending this technique
in order to build a self-adjusting PID
controller that can automatically set the
input scaling factors. This way we can
obtain simple interpolative controllers
embedding conventional knowledge on
the PID controller adjusting, adapted
from the Ziegler-Nichols method.

Cuvinte cheie: fuzzy-interpolative control, fuzzyinterpolative expert system, knowledge embedding by control rules, phase trajectory of the error.

URL: http://www.springerlink.com/content/u50w1n1652815147/