Neural network α-th order inverse system method for the control of nonlinear continuous systems

被引：29

作者：

Dai, X ^{[1
]}

Liu, J ^{[1
]}

Feng, C ^{[1
]}

He, D ^{[1
]}

机构：

[1] SE Univ, Dept Automat Control Engn, Nanjing 210096, Peoples R China

来源：

IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS | 1998年 / 145卷 / 06期

关键词：

artificial neural networks; nonlinear continuous systems; composite control method; inverse systems; identification control;

D O I：

10.1049/ip-cta:19982411

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 ANN alpha-th order inverse system is composed of a single static artificial neural network and several integrators. By combining the alpha-th order inverse system with an additional linear controller designed according to conventional theory of linear continuous systems, a composite control method is formed and the effective control of the original system can be completed. Simulation results show that this method applies to general linear or nonlinear continuous systems, with simple construction of the controller for easy implementation.

引用

页码：519 / 522

页数：4

共 7 条

[1] BLOCK PARTIAL DERIVATIVE AND ITS APPLICATION TO NEURAL-NET-BASED DIRECT-MODEL-REFERENCE ADAPTIVE-CONTROL [J].

AHMED, MS .

IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 1994, 141 (05) :305-314

[2] COMPARISON OF LINEAR, NONLINEAR AND NEURAL-NETWORK-BASED ADAPTIVE CONTROLLERS FOR A CLASS OF FED-BATCH FERMENTATION PROCESSES [J].

BOSKOVIC, JD ;

NARENDRA, KS .

AUTOMATICA, 1995, 31 (06) :817-840

[3] ADAPTIVELY CONTROLLING NONLINEAR CONTINUOUS-TIME SYSTEMS USING MULTILAYER NEURAL NETWORKS [J].

CHEN, FC ;

LIU, CC .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1994, 39 (06) :1306-1310

[4] NEURAL NETWORKS FOR NONLINEAR INTERNAL MODEL CONTROL [J].

HUNT, KJ ;

SBARBARO, D .

IEE PROCEEDINGS-D CONTROL THEORY AND APPLICATIONS, 1991, 138 (05) :431-438

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

HUNT, KJ ;

SBARBARO, D ;

ZBIKOWSKI, R ;

GAWTHROP, PJ .

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

[6] The dependence identification neural network construction algorithm [J].

Moody, JO ;

Antsaklis, PJ .

IEEE TRANSACTIONS ON NEURAL NETWORKS, 1996, 7 (01) :3-15

[7] FEEDBACK LINEARIZATION USING NEURAL NETWORKS [J].

YESILDIREK, A ;

LEWIS, FL .

AUTOMATICA, 1995, 31 (11) :1659-1664

← 1 →