Title :
A method to solve the inverse problem of fuzzification of any nonlinear system
Author :
Ramu, G. Venkata ; Ananthi, S. ; Padmanabhan, K.
Author_Institution :
Instrum. Dept., Univ. of Madras, Chennai, India
Abstract :
In this paper, the inverse problem of fixing the parameters of a fuzzy based inference system for a certain nonlinear function is described with a solution which is handled using the Adaptive Neuro fuzzy inference method. The description gives the exact procedure for doing this for any given nonlinearity of single or more variables. The program for this purpose is based on the existing functions available with MATLAB tool box for Fuzzy logic. The method will be applicable only for the Takagi Sugeno model and not for the Mamdani Model fuzzy system.
Keywords :
adaptive control; fuzzy control; fuzzy logic; fuzzy reasoning; inverse problems; neurocontrollers; nonlinear control systems; MATLAB tool box; Mamdani model fuzzy system; Takagi Sugeno model; adaptive neuro fuzzy inference method; fuzzification inverse problem; fuzzy based inference system; fuzzy logic; nonlinear function; nonlinear system; Equations; Fuzzy logic; Input variables; Inverse problems; MATLAB; Mathematical model; Transfer functions; ANFIS; Fuzzification and Mamdani Model; Fuzzy Inference System; TSK Mode;
Conference_Titel :
Industrial Electronics and Applications (ICIEA), 2012 7th IEEE Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-2118-2
DOI :
10.1109/ICIEA.2012.6360759
