Title :
Anytime extension of the iterative fuzzy model inversion
Author :
Varkonyi-Koczy, Annamaria R. ; Takács, Orsolya
Author_Institution :
Dept. of Meas. & Inf. Syst., Budapest Univ. of Technol. & Econ., Romania
Abstract :
Model based techniques play very important role in solving engineering problems. Recently, for representing nonlinear systems fuzzy models became very popular for evaluating measurement data and controller design, and the inverse models are of considerable interest. In this paper the extension of the observer based technique to perform fuzzy model inversion is presented. The inversion can be extended towards anytime modes of operation providing short response time and flexibility during temporal loss of computational power and/or time.
Keywords :
fuzzy set theory; iterative methods; nonlinear systems; search problems; anytime modes; fuzzy model inversion; global search; iterative fuzzy model; local search; nonlinear systems; Control systems; Delay; Fuzzy control; Fuzzy systems; Information systems; Inverse problems; Nonlinear control systems; Nonlinear systems; Power generation economics; Power system modeling;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1009121