Title :
Stability analysis of variation model for linguistic fuzzy modeling
Author :
Suratgar, A.A. ; Nikravesh, S.K.
Author_Institution :
Dept. of Electr. Eng., Amirkabir Univ. of Technol., Tehran, Iran
Abstract :
This paper presents two new approaches for linguistic modeling which are suitable for stability analysis of linguistic models. The first approach, which is named called Infinite Place model, is described by modified fuzzy Petri net and uses a new place definition based on physical infinity state. This method has some practical difficulties. In order to overcome practical difficulties, variation model is presented. The paper presents some definitions and a necessary and sufficient condition for linguistic fuzzy system stability. This stability analysis method is verified using a benchmark network simulation.
Keywords :
Petri nets; computational linguistics; fuzzy control; robust control; stability criteria; step response; LTI systems; benchmark network simulation; infinite place model; linguistic fuzzy modeling; modified fuzzy Petri net; physical infinity state; simple nonlinear system; stability analysis; stability analysis method; variation model; Analytical models; Fuzzy control; Fuzzy systems; H infinity control; Mathematical model; Paper technology; Petri nets; Robust stability; Stability analysis; Sufficient conditions;
Conference_Titel :
Fuzzy Systems, 2003. FUZZ '03. The 12th IEEE International Conference on
Print_ISBN :
0-7803-7810-5
DOI :
10.1109/FUZZ.2003.1209346