Autori: Balas, M.M., Balas, V.E.

Editorial: IEEE Xplore Digital Library, 2007 ISCIII'07: 3rd International Symposium on Computational Intelligence and Intelligent Informatics; Proceedings, art. no. 4218396, p.pp. 63-66, 2007.

Rezumat:

The Fuzzy Self Adapted Interpolative Controllers are able to identify on-line and to control a wide range of unknown plants. These controllers are developed by combining fuzzy-interpolative modules (implemented by look-up tables). In order to cope with contradictory strategies demanded by time variable plants, several adaptive correctors, corresponding to different operating regimes can be fusioned or switched. Switching adaptive rule bases can cause the same stability problems as switching simple controllers. A stability benchmark study is provided in this issue, the instability generating factors are revealed, and the use of the switching error is recommended. © 2007 IEEE.

Cuvinte cheie: Fuzzy controller; Instability; Linear interpolation; Phase trajectory; Self-adaptation; Switching command

URL: http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4218396