The robust previous step adaptive fuzzy controller for nonlinear systems

Author

Tao, Tiantian

Author_Institution

Dept. of Comput. & Commun. Eng., Taipei Chengshih Univ. of Sci. & Technol., Taipei, Taiwan

fYear

2013

fDate

6-8 Dec. 2013

Firstpage

111

Lastpage

115

Abstract

The robust previous step adaptive fuzzy controller for nonlinear systems is proposed in this paper. First, the robust previous step control system is proposed, which can achieve a certain goal without concern for instability of the controlled system in the presence of significant plant uncertainties if the nominal parameter is roughly estimated. Secondly, the adaptive fuzzy controller is proposed to adaptively adjust the nominal parameter for improving the robust previous step control performance. Finally, simulation results demonstrate that the proposed control schemes have the excellent capability of for improving the output performance.

Keywords

adaptive control; fuzzy control; nonlinear control systems; robust control; nominal parameter; nonlinear systems; plant uncertainties; robust previous step adaptive fuzzy controller; robust previous step control system; Adaptive systems; Educational institutions; Fuzzy control; Nonlinear systems; Robustness; Supervisory control; Fuzzy controller; Robust control; Supervisory control;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Theory and Its Applications (iFUZZY), 2013 International Conference on

Conference_Location

Taipei

Type

conf

DOI

10.1109/iFuzzy.2013.6825419

Filename

6825419