A pole dominance approach for adaptive control and dynamic model reduction of large scale systems

Author

Gálvez, José Maria

Author_Institution

Dept. of Electron. Eng, Fed. Univ. of Minas Gerais, Belo Horizonte, Brazil

Volume

2

fYear

1995

fDate

13-16 Aug 1995

Firstpage

635

Abstract

This paper presents a dynamic model reduction (DMR) technique based on the concept of pole dominance applied to direct model reference adaptive control (DMRAC). The stability analysis is performed through Lyapunov´s theory and does not require the plant to be strictly positive real (SPR). It is shown how asymptotic stability can be obtained through the implementation of the DMR scheme together with residual mode filters (RMF). Simulation results are carry out to illustrate the regulation and tracking outstanding performances of the proposed scheme

Keywords

Lyapunov methods; asymptotic stability; large-scale systems; model reference adaptive control systems; pole assignment; reduced order systems; Lyapunov theory; asymptotic stability; direct model reference adaptive control; dynamic model reduction; large scale system; pole dominance; regulation; residual mode filters; simulation; tracking; Adaptive control; Asymptotic stability; Control design; Filters; Large-scale systems; Read only memory; Reduced order systems; Stability analysis; State estimation; State feedback;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1995., Proceedings., Proceedings of the 38th Midwest Symposium on

Conference_Location

Rio de Janeiro

Print_ISBN

0-7803-2972-4

Type

conf

DOI

10.1109/MWSCAS.1995.510170

Filename

510170