Adaptive control of unstable systems based on Kautz expanded inverse model

Author

ORQUEDA, OMAR A A ; Jordán, Mario A.

Author_Institution

Dept. of Electr. Eng., Univ. Nacional del Sur, Bahia Blanca, Argentina

Volume

3

fYear

1997

fDate

27-29 Aug 1997

Firstpage

549

Abstract

In this work a method for discrete-time indirect adaptive control of linear unstable minimum phase systems using plant inverse modeling is presented. The resulting adaptive algorithm is proved to be asymptotic stabilizing. The main advantage of the method is that the adaptive control start-up phase does not require any main prior plant knowledge other than their Schur stability. The method can reach high degrees of control. Performance due to the controller design based on minimization of regulation error energy

Keywords

adaptive control; asymptotic stability; discrete time systems; linear systems; minimisation; Kautz expanded inverse model; Schur stability; controller design; discrete-time indirect adaptive control; linear unstable minimum phase systems; minimization; regulation error energy; start-up phase; Adaptive algorithm; Adaptive control; Control systems; Error correction; Hilbert space; Inverse problems; Least squares approximation; Recursive estimation; Robust control; Stability;

fLanguage

English

Publisher

ieee

Conference_Titel

Control of Oscillations and Chaos, 1997. Proceedings., 1997 1st International Conference

Conference_Location

St. Petersburg

Print_ISBN

0-7803-4247-X

Type

conf

DOI

10.1109/COC.1997.626665

Filename

626665