A neural-control method for nonlinear plants

Author

Adetona, O. ; Sathananthan, S. ; Keel, L.H.

Author_Institution

Center of Excellence in Inf. Syst., Tennessee State Univ., Nashville, TN, USA

Volume

2

fYear

2000

fDate

2000

Firstpage

1424

Abstract

A novel controller design method for non-affine nonlinear dynamical systems is presented in this paper. The method is based on a new control law that is developed for any discrete, deterministic, time-invariant, nonlinear dynamical system in a subregion of an asymptotically stable equilibrium point of the plant. The control law is simple to implement and is based on a linearization of the input-output model of the plant at each time instant. It can be used to control both minimum phase and non-minimum phase non-affine nonlinear plants

Keywords

asymptotic stability; control system synthesis; linearisation techniques; neurocontrollers; nonlinear dynamical systems; asymptotic stability; discrete time systems; equilibrium point; input-output model; linearization; minimum phase systems; neurocontrol; nonaffine nonlinear systems; nonlinear dynamical systems; nonminimum phase systems; Control systems; Delay; Design methodology; Ear; Information systems; Iterative methods; Neural networks; Nonlinear control systems; Nonlinear dynamical systems; Trajectory;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference, 2000. Proceedings of the 2000

Conference_Location

Chicago, IL

ISSN

0743-1619

Print_ISBN

0-7803-5519-9

Type

conf

DOI

10.1109/ACC.2000.876736

Filename

876736