TECHNICAL PAPERS
Nov 1, 1997

Adaptive Control of Nonlinear Uncertain Dynamical Systems

Publication: Journal of Engineering Mechanics
Volume 123, Issue 11

Abstract

In this paper an algorithm is implemented for the control of uncertain nonlinear dynamical systems. The control algorithm is adaptive and consists of two phases. First, a system identification phase is implemented to develop a predictive model of the system based on its observed behavior. Second, a controller is designed to steer the predicted system response into a desired configuration. The control strategy to be presented in this paper is related to the well-known concepts of sliding mode control and variable structure control. Furthermore, the implementation of this control strategy utilizing smart materials is also addressed. Numerical examples are presented for the trajectory tracking and stabilization of uncertain nonlinear dynamical systems. Control strategies based on externally powered actuators and adaptive components are considered.

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Published In

Go to Journal of Engineering Mechanics
Journal of Engineering Mechanics
Volume 123Issue 11November 1997
Pages: 1161 - 1169

History

Published online: Nov 1, 1997
Published in print: Nov 1997

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Authors

Affiliations

R. Ghanem
Asst. Prof., The Johns Hopkins Univ., Baltimore, MD 21218.
M. Bujakov
Formerly, Grad. Student, State Univ. of New York, Buffalo, NY 14260.
K. Torikoshi
Res. Dir., Mech. Engrg. Lab., DAIKIN Industries, Ltd., Osaka, Japan.
H. Itoh
Group Leader, Intelligent Control and Intellectual Machine Sect., DAIKIN Industries, Ltd., Osaka, Japan.
T. Inazuka
Group Leader, Air Conditioning Sys. Sect., DAIKIN Industries, Ltd., Osaka, Japan.
H. Hiei
Theme Leader, DAIKIN Industries, Ltd., Osaka, Japan.
T. Watanabe
Engr., DAIKIN Industries, Ltd., Osaka, Japan.

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