H∞ control for uncertain nonlinear time-delay systems based on fuzzy and NN approximation via output feedback

Author

Qu Zifang ; Du Zhenbin

Author_Institution

Coll. of Math. & Inf. Sci, Shandong Inst. of Bus. & Technol., Yantai, China

fYear

2014

fDate

28-30 July 2014

Firstpage

4462

Lastpage

4466

Abstract

In this paper, the problem of output feedback control is considered for a class of nonlinear systems with uncertainties, time delays and unknown states. Fuzzy T-S (Takagi-Sugeno) models are used to approximate the nonlinear systems, and RBF NNs (Radial Basis Function Neural Networks) as a compensator to eliminate the approximating error and the uncertainties. The controller is designed such that the closed-loop system satisfies the desired H∞ performance. Simulation results demonstrate the effectiveness of the developed control scheme.

Keywords

H^∞ control; approximation theory; closed loop systems; control system synthesis; delay systems; feedback; fuzzy control; neurocontrollers; nonlinear control systems; radial basis function networks; uncertain systems; H∞ control; RBF NN; closed-loop system; controller design; fuzzy T-S model; fuzzy Takagi-Sugeno model; output feedback control; radial basis function neural networks; uncertain nonlinear time-delay system; Approximation methods; Delay effects; Fuzzy control; Nonlinear systems; Robustness; Uncertainty; RBF NNs; fuzzy T-S model; nonlinear systems; time delays; uncertainties;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (CCC), 2014 33rd Chinese

Conference_Location

Nanjing

Type

conf

DOI

10.1109/ChiCC.2014.6895688

Filename

6895688