Identification of fuzzy models of nonlinear dynamic objects with observability of input and output

Author

Zeynalov, E.R. ; Jafarov, S.M. ; Zeynalova, L.M. ; Jafarov, P.S. ; Mustafayeva, A.M.

Author_Institution

Dept. Comput.-Aided control Syst., Azerbaijan State Oil Acad., Baku, Azerbaijan

fYear

2009

fDate

2-4 Sept. 2009

Firstpage

1

Lastpage

4

Abstract

In this paper it is suggested a method of fuzzy parametric identification of fuzzy nonlinear dynamic object with only observability of input and output. TS fuzzy mathematical dynamic model, i.e. a knowledge base, terms of fuzzy sets and corresponding linear differential equations are suggested, investigating the observations of Â¿input-outputÂ¿ of object and of state variables of tolerant filters, included for input and output.

Keywords

fuzzy set theory; linear differential equations; nonlinear dynamical systems; observability; parameter estimation; TS fuzzy mathematical dynamic model; fuzzy nonlinear dynamic object; fuzzy parametric identification; fuzzy sets; input-output observation; linear differential equation; Automatic control; Chaos; Differential equations; Fuzzy sets; Industrial control; Mathematical model; Observability; Orbital robotics; Service robots; State-space methods; Fuzzy model; dynamic objects; identification;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing, Computing with Words and Perceptions in System Analysis, Decision and Control, 2009. ICSCCW 2009. Fifth International Conference on

Conference_Location

Famagusta

Print_ISBN

978-1-4244-3429-9

Electronic_ISBN

978-1-4244-3428-2

Type

conf

DOI

10.1109/ICSCCW.2009.5379424

Filename

5379424