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
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;
Conference_Titel :
Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
Conference_Location :
London
Print_ISBN :
1-4244-1209-9
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZY.2007.4295408