Title :
Development and analysis of a fuzzy identifier for nonlinear discrete systems
Author :
Emara, Hassan M. ; Elshaf, A.L. ; Bahgat, A.
Author_Institution :
Fac. of Eng., Cairo Univ., Giza, Egypt
Abstract :
The paper presents an algorithm for fuzzy logic identification of nonlinear systems. The proposed algorithm uses a linear in parameters identifier to avoid the problem of local minima. The stability of the proposed algorithm is proved and a sufficient condition on system excitation to ensure identifiability is presented. The algorithm is validated by comparing its performance with neural networks and backpropagation trained fuzzy identifiers
Keywords :
discrete systems; fuzzy logic; fuzzy systems; identification; nonlinear systems; stability; fuzzy identifier; fuzzy logic identification; identifiability; linear in parameters identifier; nonlinear discrete systems; sufficient condition; system excitation; Backpropagation algorithms; Convergence; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Inference algorithms; Neural networks; Nonlinear systems; Stability; Sufficient conditions;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.878854
