DYNAMIC RECURRENT NEURAL-NETWORK FOR SYSTEM-IDENTIFICATION AND CONTROL

被引：81

作者：

DELGADO, A

KAMBHAMPATI, C

WARWICK, K

机构：

[1] Univ of Reading, Reading

来源：

IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 1995年 / 142卷 / 04期

关键词：

IDENTIFICATION; HOPFIELD NEURAL NETWORKS; NONLINEAR MODELING; NEURAL NETWORKS;

D O I：

10.1049/ip-cta:19951873

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A dynamic recurrent neural network (DRNN) that can be viewed as a generalisation of the Hopfield neural network is proposed to identify and control a class of control affine systems. In this approach, the identified network is used in the context of the differential geometric control to synthesise a state feedback that cancels the nonlinear terms of the plant yielding a linear plant which can then be controlled using a standard PID controller.

引用

收藏

页码：307 / 314

页数：8

相关论文

共 19 条

[1] NONLINEAR-SYSTEM IDENTIFICATION USING NEURAL NETWORKS [J].

CHEN, S ;

BILLINGS, SA ;

GRANT, PM .

INTERNATIONAL JOURNAL OF CONTROL, 1990, 51 (06) :1191-1214

[2]

DELGADO A, 1994, DIFFERENTIAL GEOMETR

[3] APPROXIMATION OF DYNAMICAL-SYSTEMS BY CONTINUOUS-TIME RECURRENT NEURAL NETWORKS [J].

FUNAHASHI, K ;

NAKAMURA, Y .

NEURAL NETWORKS, 1993, 6 (06) :801-806

[4] ON THE APPROXIMATE REALIZATION OF CONTINUOUS-MAPPINGS BY NEURAL NETWORKS [J].

FUNAHASHI, K .

NEURAL NETWORKS, 1989, 2 (03) :183-192

[5] NEURONS WITH GRADED RESPONSE HAVE COLLECTIVE COMPUTATIONAL PROPERTIES LIKE THOSE OF 2-STATE NEURONS [J].

HOPFIELD, JJ .

PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA-BIOLOGICAL SCIENCES, 1984, 81 (10) :3088-3092

[6] MULTILAYER FEEDFORWARD NETWORKS ARE UNIVERSAL APPROXIMATORS [J].

HORNIK, K ;

STINCHCOMBE, M ;

WHITE, H .

NEURAL NETWORKS, 1989, 2 (05) :359-366

[7] NEURAL NETWORKS FOR CONTROL-SYSTEMS - A SURVEY [J].

HUNT, KJ ;

SBARBARO, D ;

ZBIKOWSKI, R ;

GAWTHROP, PJ .

AUTOMATICA, 1992, 28 (06) :1083-1112

[8]

Isidori A., 1989, NONLINEAR CONTROL SY, Vsecond

[9] DIRECT ADAPTIVE OUTPUT TRACKING CONTROL USING MULTILAYERED NEURAL NETWORKS [J].

JIN, L ;

NIKIFORUK, PN ;

GUPTA, MM .

IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS, 1993, 140 (06) :393-398

[10]

KAMBHAMPATI C, IN PRESS AUTOMATICA