Feedback control of nonlinear multiplicative systems using neural networks: an application to electrically stimulated muscle

Author

Teixeira, E. ; Jayaraman, G. ; Shue, G. ; Crago, P. ; Loparo, K. ; Chizeck, H.

Author_Institution

Dept. of Syst. Eng. & Biomed. Eng., Case Western Reserve Univ., Cleveland, OH, USA

fYear

1993

fDate

1-3 Aug. 1993

Firstpage

218

Lastpage

220

Abstract

The authors consider the control of a class of nonlinear systems using feedback linearization methods, in which the control maps are learned using an artificial neural net. The class of systems investigated involves the multiplication of separate subsystems. The motivation for considering the real-time control of such systems is the fact that they represent the input-output properties of electrically stimulated muscle. Such systems must be controlled as part of neural prostheses that are designed to restore function to individuals who are paralyzed.<>

Keywords

biocontrol; bioelectric phenomena; feedback; linearisation techniques; muscle; neural nets; nonlinear control systems; prosthetics; biocontrol; electrical stimulation; feedback linearization; muscle; neural networks; neural prostheses; nonlinear multiplicative systems; real-time control; Bioelectric phenomena; Biological control systems; Feedback; Linear approximation; Muscles; Neural networks; Nonlinear systems; Prosthetics;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems Engineering, 1991., IEEE International Conference on

Conference_Location

Dayton, OH, USA

Print_ISBN

0-7803-0173-0

Type

conf

DOI

10.1109/ICSYSE.1991.161117

Filename

161117