Observer-based adaptive nonlinear control for a case of nonlinear systems with unknown functions

被引：0

作者：

Oguro, R ^{[1
]}

Hao, SH ^{[1
]}

Tsuji, T ^{[1
]}

机构：

[1] Yasakawa Elect Corp, Dept Dev, Syst Engn Ctr, Kita Ku, Kitakyushu, Fukuoka 804, Japan

来源：

(SYSID'97): SYSTEM IDENTIFICATION, VOLS 1-3 | 1998年

关键词：

nonlinear control systems; adaptive control; neural network; nonlinear observers;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper addresses the problem of designing observer-based adaptive output-feedback tracking controls via neural networks for single-input/single-output nonlinear systems which are unknown feedback linearizable continuous-time systems. A local convergence theorem is given on the tracking error and updating weight in the neural networks. Computer simulations verify the theoretical result.

引用

页码：891 / 896

页数：6

共 10 条

[1]

Fukao T., 1995, Transactions of the Society of Instrument and Control Engineers, V31, P1351

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

FUNAHASHI, K .

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

[3]

HAO, 1996, T SICE, V32, P87

[4]

Isidori A., 1989, NONLINEAR CONTROL SY

[5] Adaptive output feedback control of nonlinear systems represented by input-output models [J].

Khalil, HK .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1996, 41 (02) :177-188

[6]

LIU CC, 1993, J CONTROL, V58, P317

[7] GLOBAL ADAPTIVE OBSERVERS FOR NONLINEAR-SYSTEMS VIA FILTERED TRANSFORMATIONS [J].

MARINO, R ;

TOMEI, P .

IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1992, 37 (08) :1239-1245

[8]

MARINO R, 1993, IEEE T AUTOMAT CONTR, V38, P17, DOI 10.1109/9.186309

[9]

NARENDRA KS, 1989, ATABLE ADAPTIVE SYST

[10]

PARK J, 1991, NEURAL COMPUT, V3, P245

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