NN control of discrete-time MIMO systems with input delay

Jin Zhang; Shuling Dai

doi:10.1109/ACC.2006.1657171

NN control of discrete-time MIMO systems with input delay

Jin Zhang^*
, Shuling Dai

^*此作品的通讯作者

自动化科学与电气工程学院

Beihang University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In this paper, adaptive neural network (NN) control scheme is investigated for a classes of discrete-time multi inputs multi outputs (MIMO) nonlinear systems with known input delay and triangular form inputs. By recursive substitution, the original system is transformed into an input-output based predictor model with the triangular form inputs structure unchanged. Neural networks are used to approximate the desired controls which can realize exact tracking. The closed loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB) by using Lyapunov synthesis method.

源语言	英语
主期刊名	Proceedings of the 2006 American Control Conference
出版商	Institute of Electrical and Electronics Engineers Inc.
页	2969-2974
页数	6
ISBN（印刷版）	1424402107, 9781424402106
DOI	https://doi.org/10.1109/ACC.2006.1657171
出版状态	已出版 - 2006
活动	2006 American Control Conference - Minneapolis, MN, 美国期限: 14 6月 2006 → 16 6月 2006

出版系列

姓名	Proceedings of the American Control Conference
卷	2006
ISSN（印刷版）	0743-1619

会议

会议	2006 American Control Conference
国家/地区	美国
市	Minneapolis, MN
时期	14/06/06 → 16/06/06

访问文件

10.1109/ACC.2006.1657171

其它文件与链接

链接到 Scopus 的出版物

引用此

@inproceedings{91a869c5ca284d96ab51a04d33137c1e,

title = "NN control of discrete-time MIMO systems with input delay",

abstract = "In this paper, adaptive neural network (NN) control scheme is investigated for a classes of discrete-time multi inputs multi outputs (MIMO) nonlinear systems with known input delay and triangular form inputs. By recursive substitution, the original system is transformed into an input-output based predictor model with the triangular form inputs structure unchanged. Neural networks are used to approximate the desired controls which can realize exact tracking. The closed loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB) by using Lyapunov synthesis method.",

author = "Jin Zhang and Shuling Dai",

year = "2006",

doi = "10.1109/ACC.2006.1657171",

language = "英语",

isbn = "1424402107",

series = "Proceedings of the American Control Conference",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2969--2974",

booktitle = "Proceedings of the 2006 American Control Conference",

address = "美国",

note = "2006 American Control Conference ; Conference date: 14-06-2006 Through 16-06-2006",

}

Zhang, J & Dai, S 2006, NN control of discrete-time MIMO systems with input delay. 在 Proceedings of the 2006 American Control Conference., 1657171, Proceedings of the American Control Conference, 卷 2006, Institute of Electrical and Electronics Engineers Inc., 页码 2969-2974, 2006 American Control Conference, Minneapolis, MN, 美国, 14/06/06. https://doi.org/10.1109/ACC.2006.1657171

TY - GEN

T1 - NN control of discrete-time MIMO systems with input delay

AU - Zhang, Jin

AU - Dai, Shuling

PY - 2006

Y1 - 2006

N2 - In this paper, adaptive neural network (NN) control scheme is investigated for a classes of discrete-time multi inputs multi outputs (MIMO) nonlinear systems with known input delay and triangular form inputs. By recursive substitution, the original system is transformed into an input-output based predictor model with the triangular form inputs structure unchanged. Neural networks are used to approximate the desired controls which can realize exact tracking. The closed loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB) by using Lyapunov synthesis method.

AB - In this paper, adaptive neural network (NN) control scheme is investigated for a classes of discrete-time multi inputs multi outputs (MIMO) nonlinear systems with known input delay and triangular form inputs. By recursive substitution, the original system is transformed into an input-output based predictor model with the triangular form inputs structure unchanged. Neural networks are used to approximate the desired controls which can realize exact tracking. The closed loop system is proved to be semi-globally uniformly ultimately bounded (SGUUB) by using Lyapunov synthesis method.

UR - https://www.scopus.com/pages/publications/34047199757

U2 - 10.1109/ACC.2006.1657171

DO - 10.1109/ACC.2006.1657171

M3 - 会议稿件

AN - SCOPUS:34047199757

SN - 1424402107

SN - 9781424402106

T3 - Proceedings of the American Control Conference

SP - 2969

EP - 2974

BT - Proceedings of the 2006 American Control Conference

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2006 American Control Conference

Y2 - 14 June 2006 through 16 June 2006

ER -

NN control of discrete-time MIMO systems with input delay

摘要

出版系列

会议

访问文件

其它文件与链接

指纹

引用此