Quasi-invariant stable multivariable CMAC variable structure neurocontrol

Author

Bordon, Maurício José ; Bottura, Celso Pascoli ; Teixeira, Marcelo Carvalho Minhoto

Author_Institution

DMCSI-FEEC-UNICAMP, Brazil

Volume

3

fYear

1999

fDate

1999

Firstpage

2200

Abstract

A quasi-invariant intelligent control method for partially unknown dynamical systems stabilization is proposed. The ability of a CMAC network in the reproduction of arbitrary functions is used to online approximation of plant parameters related information in order to satisfy the existence conditions of a sliding mode regime in a set of discontinuity surfaces without the knowledge of plant model other than system order and structure

Keywords

cerebellar model arithmetic computers; intelligent control; multivariable control systems; neurocontrollers; parameter estimation; stability; uncertain systems; variable structure systems; CMAC network; VSC; VSS; arbitrary function reproduction; discontinuity surface set; existence conditions; intelligent control method; online approximation; partially unknown dynamical systems stabilization; plant parameters; quasi-invariant stable multivariable CMAC variable structure neurocontrol; sliding mode regime; Chemical processes; Function approximation; Intelligent control; Learning; Noise generators; Nonlinear control systems; Quantization; Robot kinematics; Sliding mode control; State estimation;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.832730

Filename

832730