Obiekt

Tytuł: Indirect adaptive controller based on a self-structuring fuzzy system for nonlinear modeling and control

Autor:

Qi, Ruiyun ; Brdys, Mietek A.

Data wydania:

2009

Typ zasobu:

artykuł

Współtwórca:

Zieliński, Cezary - ed.

Podtytuł:

.

Tytuł publikacji grupowej:

AMCS, volume 19 (2009)

Abstract:

In this paper, a unified nonlinear modeling and control scheme is presented. A self-structuring Takagi-Sugeno (T-S) fuzzy model is used to approximate the unknown nonlinear plant based on I/O data collected on-line. Both the structure and the parameters of the T-S fuzzy model are updated by an on-line clustering method and a recursive least squares estimation (RLSE) algorithm. The rules of the fuzzy model can be added, replaced or deleted on-line to allow a more flexible and compact model structure. ; The overall controller consists of an indirect adaptive controller and a supervisory controller. The former is the dominant controller, which maintains the closed-loop stability when the fuzzy system is a good approximation of the nonlinear plant. The latter is an auxiliary controller, which is activated when the tracking error reaches the boundary of a predefined constraint set. It is proven that global stability of the closed-loop system is guaranteed in the sense that all the closed-loop signals are bounded and simulation examples demonstrate the effectiveness of the proposed control scheme.

Wydawca:

Zielona Góra: Uniwersytet Zielonogórski

Identyfikator zasobu:

oai:zbc.uz.zgora.pl:78799

DOI:

10.2478/v10006-009-0049-8

Strony:

619-630

Źródło:

AMCS, volume 19, number 4 (2009) ; kliknij tutaj, żeby przejść

Jezyk:

eng

Prawa do dysponowania publikacją:

Biblioteka Uniwersytetu Zielonogórskiego

Obiekty

Podobne

Ta strona wykorzystuje pliki 'cookies'. Więcej informacji