Robust multiple model adaptive control using fuzzy fusion

Author

Sadati, Nasser ; Dumont, Guy A. ; Mahdavian, H. R Feyz

Author_Institution

Electr. & Comput. Eng. Dept., Univ. of British Columbia, Vancouver, BC, Canada

fYear

2010

fDate

7-9 March 2010

Firstpage

19

Lastpage

24

Abstract

A robust multiple model adaptive control strategy using fuzzy fusion (RMMAC-FF) is presented in this paper. The main idea in multi-model controllers is to identify the best model of the system at any instant of time and apply the appropriate control input to it. RMMAC-FF, integrates a fuzzy robust controller, with the fuzzy multiple model adaptive estimation and a fuzzy switching to come up with a new strong methodology to control complex systems. Simulation results of the RMMAC-FF on a two-cart system, used as a benchmark problem, verify the theory and confirm the effectiveness of the proposed controller.

Keywords

adaptive control; fuzzy control; large-scale systems; robust control; RMMAC-FF; benchmark problem; control complex systems; fuzzy fusion; fuzzy robust controller; fuzzy switching; multimodel controllers; robust multiple model adaptive control; two cart system; Adaptive control; Control system synthesis; Fuzzy control; Fuzzy logic; Fuzzy systems; Medical control systems; Nonlinear control systems; Optimal control; Robust control; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

System Theory (SSST), 2010 42nd Southeastern Symposium on

Conference_Location

Tyler, TX

ISSN

0094-2898

Print_ISBN

978-1-4244-5690-1

Type

conf

DOI

10.1109/SSST.2010.5442796

Filename

5442796