Title :
Identification of time-varying fuzzy systems
Author :
Wang, Liang ; Langari, Reza
Author_Institution :
Dept. of Mech. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
This paper discusses the identification of time-varying fuzzy systems. A square-root type recursive algorithm with variable forgetting factor is presented to estimate the parameters of systems. Numerical examples are provided to illustrate the performance of the identification algorithm. An interesting discovery is that, for a linear system, a fuzzy model may have a frequency response close to that of a conventional model, say, a difference equation model, although the orders of two models may be different
Keywords :
frequency response; fuzzy logic; fuzzy systems; identification; time-varying systems; difference equation model; frequency response; fuzzy model; square-root type recursive algorithm; time-varying fuzzy systems identification; variable forgetting factor; Control systems; Fuzzy sets; Fuzzy systems; Input variables; Mechanical engineering; Parameter estimation; Power system modeling; Recursive estimation; Signal processing algorithms; Time varying systems;
Conference_Titel :
Fuzzy Information Processing Society Biannual Conference, 1994. Industrial Fuzzy Control and Intelligent Systems Conference, and the NASA Joint Technology Workshop on Neural Networks and Fuzzy Logic,
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-2125-1
DOI :
10.1109/IJCF.1994.375086
