Title :
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
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 ¿input-output¿ 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;
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
DOI :
10.1109/ICSCCW.2009.5379424
