Approximate model matching for nonlinear systems

Author

Lawrence, Douglas A.

Author_Institution

Dept. of Electr. & Comput. Eng., Ohio Univ., Athens, OH, USA

Volume

1

fYear

1999

fDate

1999

Firstpage

720

Abstract

An approximate model matching problem is presented in which the objective is to achieve, via dynamic state feedback, a nonlinear closed-loop system possessing a family of linearizations about constant operating points that matches a prescribed family of linear models from a transfer function viewpoint. A necessary and sufficient solvability condition is derived and an algebraic feedback law construction is provided using an extension of Silverman´s structure algorithm to the case of parametrized families of linear systems

Keywords

MIMO systems; closed loop systems; linearisation techniques; multidimensional systems; nonlinear systems; state feedback; transfer functions; MIMO systems; Silverman structure algorithm; approximate model matching; closed-loop system; dynamic state feedback; linearizations; multidimensional systems; nonlinear systems; solvability; transfer function; Computer science; Control systems; Electronic mail; Linear feedback control systems; Linear systems; Nonlinear control systems; Nonlinear dynamical systems; Nonlinear systems; State feedback; Transfer functions;

fLanguage

English

Publisher

ieee

Conference_Titel

Decision and Control, 1999. Proceedings of the 38th IEEE Conference on

Conference_Location

Phoenix, AZ

ISSN

0191-2216

Print_ISBN

0-7803-5250-5

Type

conf

DOI

10.1109/CDC.1999.832873

Filename

832873