DocumentCode
3316362
Title
MIMO Robust Control via T-S Fuzzy Models for Nonaffine Nonlinear Systems
Author
Wang, Wei-Yen ; Chien, Li-Chuan ; Li, I-Hsum ; Su, Shun-Feng
Author_Institution
Nat. Taipei Univ. of Technol., Taipei
fYear
2007
fDate
23-26 July 2007
Firstpage
1
Lastpage
6
Abstract
This paper proposes on-line modeling via Takagi-Sugeno (T-S) fuzzy models and robust adaptive control for a class of generalized multiple input multiple output (MIMO) nonlinear dynamic systems with external disturbances. The T-S fuzzy model is established to approximate the nonaffine nonlinear dynamic system in a linearized way and is used to be an error compensator for external disturbances and system uncertainly, i.e. the unmodeled dynamics, modeling errors and external disturbances. In second type adaptive laws, fuzzy B-spline membership functions (BMFs) are developed for on-line tuning. In this paper, we can prove that the closed-loop system which is controlled by the proposed controller is stable and the tracking error will converge to zero.
Keywords
MIMO systems; adaptive control; closed loop systems; error compensation; fuzzy control; fuzzy systems; nonlinear dynamical systems; robust control; splines (mathematics); tracking; MIMO robust control; closed-loop system; error compensator; fuzzy B-spline membership function; multiple input multiple output system; nonaffine nonlinear dynamic system; online T-S fuzzy model; online tuning; second type adaptive law; tracking error; Adaptive control; Control systems; Fuzzy control; Fuzzy systems; MIMO; Nonlinear dynamical systems; Nonlinear systems; Robust control; Spline; Takagi-Sugeno model; MIMO; Nonaffine Nonlinear systems; T-S fuzzy model;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location
London
ISSN
1098-7584
Print_ISBN
1-4244-1209-9
Electronic_ISBN
1098-7584
Type
conf
DOI
10.1109/FUZZY.2007.4295408
Filename
4295408
Link To Document