Title :
Modeling of Fuzzy Control Design for Nonlinear Systems Based on Takagi-Sugeno Method
Author :
Pu Sheng Tsai ; Ter Feng Wu ; Nien Tsu Hu ; Jen Yang Chen
Author_Institution :
Dept. of Electron. Eng., China Univ. of Sci. & Technol., Taipei, Taiwan
Abstract :
In this paper, we first develop a procedure for constructing Takagi-Sugeno fuzzy systems from input-output pairs to identify nonlinear dynamic systems. The fuzzy system can approximate any nonlinear continuous function to any arbitrary accuracy that is substantiated by the Stone Weierstrass theorem. A learning-based algorithm is proposed in this paper for the identification of T-S (Takagi-Sugeno) models. Our modeling algorithm contains four blocks: fuzzy C-Mean partition block, LS coarse tuning, fine turning by gradient descent, and emulation block. The ultimate target is to design a fuzzy modeling to meet the requirements of both simplicity and accuracy for the input-output behavior.
Keywords :
control system synthesis; fuzzy control; gradient methods; identification; learning systems; nonlinear control systems; nonlinear dynamical systems; LS coarse tuning; Stone Weierstrass theorem; T-S model identification; Takagi-Sugeno fuzzy systems; Takagi-Sugeno model identification; emulation block; fuzzy c-mean partition block; fuzzy control design modeling; fuzzy modeling design; fuzzy system approximation; gradient descent; input-output behavior; learning-based algorithm; nonlinear continuous function; nonlinear dynamic systems; Analytical models; Data models; Fuzzy systems; Input variables; Mathematical model; Nonlinear systems; Wheels; Takagi-Sugeno fuzzy systems; fuzzy modeling; nonlinear dynamic systems;
Conference_Titel :
Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP), 2014 Tenth International Conference on
Conference_Location :
Kitakyushu
Print_ISBN :
978-1-4799-5389-9
DOI :
10.1109/IIH-MSP.2014.243
