Block partial derivative and its application to neural-net-based direct model-reference adaptive control

Author

Ahmed, M.S.

Author_Institution

Dept. of Electr. & Comput. Eng., Michigan Univ., Dearborn, MI, USA

Volume

141

Issue

fYear

1994

fDate

9/1/1994 12:00:00 AM

Firstpage

305

Lastpage

314

Abstract

The concept of block partial derivative and the associated algebra are introduced. The algebra is then applied to direct-model-reference adaptive control (MRAC) of discrete-time nonlinear plants. Three MRAC algorithms are developed employing identification of the forward model, extended MIT rule and extended SPR rule. Local-convergence properties and results of simulation study are presented

Keywords

adaptive control; algebra; control system analysis; convergence; discrete time systems; identification; model reference adaptive control systems; neural nets; nonlinear control systems; MRAC algorithms; algebra; block partial derivative; direct model-reference adaptive control; discrete-time nonlinear plants; extended MIT rule; extended SPR rule; forward model; identification; local-convergence; neural net based control;

fLanguage

English

Journal_Title

Control Theory and Applications, IEE Proceedings -

Publisher

iet

ISSN

1350-2379

Type

jour

DOI

10.1049/ip-cta:19941395

Filename

326770

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1184747