BLOCK PARTIAL DERIVATIVE AND ITS APPLICATION TO NEURAL-NET-BASED DIRECT-MODEL-REFERENCE ADAPTIVE-CONTROL

被引：12

作者：

AHMED, MS

机构：

[1] Univ of Michigan, Dearborn

来源：

IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 1994年 / 141卷 / 05期

关键词：

ADAPTIVE CONTROL; NEURAL NETWORKS; NONLINEAR CONTROL SYSTEMS;

D O I：

10.1049/ip-cta:19941395

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：305 / 314

页数：10

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