Author Type

Graduate Student

Date of Award

1990

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Thesis/Dissertation Advisor [Chair]

Pajunen, Grazyna

Abstract

This research is concerned with the application of system identification and adaptive control to Functional Electrical Stimulation. The work consists of developing a model which describes EMG (Electromyogram) activity to forearm motion. Although several EMG models presently exist, the goal was to produce a model more suitable for on-line applications while also taking into account the system nonlinearities. The parameters of this model were estimated using a least squares algorithm. The model was tested by simulation and experimentally collected data. The developed model explains well the forearm movement. From the developed model, an adaptive controller was designed using a model reference control scheme. This adaptive controller was used for generating the suitable stimulus pattern. The simulation results showed good tracking and indicated the controllers ability to adapt to changes in the arm's nonlinear gain.

Extent

282 p.

Comments

College of Engineering and Computer Science|FAU Electronic Theses and Dissertations Collection|Thesis (M.S.E.)--Florida Atlantic University, 1990.|College of Engineering and Computer Science

Identifier

FADT14641

Format

pdf

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