Observer-based fuzzy adaptive control for a class of MIMO nonlinear systems

Author

Hao, Wanjun ; Liu, Guoliang ; Wang, SheYang ; Qiang, Wenyi

Author_Institution

Sch. of Astronaut., Harbin Inst. of Technol.

Volume

1

fYear

2006

fDate

4-6 Oct. 2006

Firstpage

239

Lastpage

244

Abstract

The adaptive fuzzy Control scheme based on high gain observer is proposed for a class of MIMO nonlinear systems involving plant uncertainties and external disturbances. It does not require the system states to be available for measurement. Assisted by observer-based state feedback control component, combining adaptive control, H_infin control with fuzzy logic systems, the output feedback control law and parameter adaptive law are derived. The system performance can be greatly improved. The simulation results demonstrate that the proposed adaptive fuzzy control system can guarantee the system stability and also maintain a good tracking performance

Keywords

H^infin control; Lyapunov methods; MIMO systems; adaptive control; fuzzy control; fuzzy logic; fuzzy systems; nonlinear systems; observers; state feedback; H_infin control; Lyapunov stability; MIMO nonlinear systems; fuzzy adaptive control; fuzzy logic systems; high gain observer; output feedback control law; parameter adaptive law; state feedback control; Adaptive control; Adaptive systems; Control systems; Fuzzy control; Fuzzy logic; Fuzzy systems; MIMO; Nonlinear systems; Programmable control; State feedback; Fuzzy adaptive control; H control; Lyapunov stability; Nonlinear MIMO system; Tracking control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Engineering in Systems Applications, IMACS Multiconference on

Conference_Location

Beijing

Print_ISBN

7-302-13922-9

Electronic_ISBN

7-900718-14-1

Type

conf

DOI

10.1109/CESA.2006.4281656

Filename

4281656