Fuzzy inverse incremental model as tracking controller for SISO systems

Author

Joshi, Mahesh V. ; Poonacha, P.G. ; Seth, B.

Author_Institution

Indian Inst. of Technol., Bombay, India

fYear

1994

fDate

26-29 Jun 1994

Firstpage

1694

Abstract

The problems encountered in using a fuzzy logic-based single neuron controller (SNC) for the tracking control of nonlinear SISO systems are shown to be overcome by the use of a fuzzy inverse incremental model (FIIM) of the same process as the tracking controller. The proposed method of tracking control uses online tuning of the universe of discourse and online identification of the FIIM. Three different algorithms for the linguistic/fuzzy modeling of SISO systems are proposed. The comparative results of using these algorithms for the tracking control of some nonlinear systems are shown

Keywords

fuzzy control; fuzzy logic; identification; modelling; nonlinear control systems; online operation; tracking; fuzzy inverse incremental model; fuzzy logic-based single neuron controller; fuzzy modeling; fuzzy variable; linguistic modeling; linguistic value; membership function; nonlinear SISO systems; online identification; online tuning; tracking controller; universe of discourse; Automatic control; Control system synthesis; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; Humans; Inverse problems; Nonlinear control systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-7803-1896-X

Type

conf

DOI

10.1109/FUZZY.1994.343600

Filename

343600