Matlab Based GUIs for Reinforcement Adaptive Fuzzy Control System Design and Applications in the Nonlinear System

Author

Zhang, Yun ; Xu, Nan ; Ji, Quanxi

Author_Institution

Sch. of Electr. & Inf. Eng., Changchun Inst. of Technol., Changchun, China

fYear

2010

fDate

24-26 Aug. 2010

Firstpage

1

Lastpage

3

Abstract

Fuzzy control has recently found extensive application for a wide variety of industrial systems and consumer products and has attracted the attention of many control researchers due to its model-free approach. In this paper, a reinforcement adaptive fuzzy control system based on Matlab´s graphical user interface(GUI) is developed. In addition the reinforcement algorithm is presented, the binary reinforcement signal, an evaluation from the critic on the system performance measure, is directly used for adjusting overall fuzzy logic system parameters. Finally, simulation results based on an application in the nonlinear system are provided to show the effectiveness of the proposed model and control algorithm.

Keywords

adaptive systems; fuzzy control; fuzzy logic; graphical user interfaces; mathematics computing; nonlinear systems; GUI; Matlab; binary reinforcement signal; consumer product; control algorithm; control researcher; fuzzy logic system parameter; graphical user interface; industrial system; model free approach; nonlinear system; reinforcement adaptive fuzzy control system; reinforcement algorithm; Adaptation model; Adaptive systems; Control systems; Fuzzy control; Fuzzy logic; Heuristic algorithms; Robots;

fLanguage

English

Publisher

ieee

Conference_Titel

Management and Service Science (MASS), 2010 International Conference on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-5325-2

Electronic_ISBN

978-1-4244-5326-9

Type

conf

DOI

10.1109/ICMSS.2010.5576818

Filename

5576818