Disturbance decoupling of uncertain nonlinear delayed systems

Hongxia Meng; Yingmin Jia

Disturbance decoupling of uncertain nonlinear delayed systems

Hongxia Meng^*
, Yingmin Jia

^*Corresponding author for this work

School of Automation Science and Electrical Engineering

Beihang University

Research output: Contribution to conference › Paper › peer-review

Abstract

The disturbance decoupling problem is investigated for a class of uncertain delayed nonlinear systems, and a sufficient and necessary condition, under which the output is completely decoupled from the disturbance, is acquired. When the disturbance is measurable, a variable structure decoupling control design scheme is proposed based on the neural network. The scheme utilizes the ability that a neural network can arbitrarily approach a nonlinear function, then introduces a compensation part for the disturbance in the control. Thus the systems can keep the stability and good performance even when the disturbance doesn't satisfy the decoupling condition.Effectiveness of the proposed scheme is tested by an illustrative example.

Original language	English
Pages	1364-1369
Number of pages	6
State	Published - 2004
Event	2004 IEEE International Conference on Control Applications - Taipei, Taiwan, Province of China Duration: 2 Sep 2004 → 4 Sep 2004

Conference

Conference	2004 IEEE International Conference on Control Applications
Country/Territory	Taiwan, Province of China
City	Taipei
Period	2/09/04 → 4/09/04

Keywords

Disturbance decoupling
Neural network
Uncertain nonlinear delayed systems
Variable structure control

Cite this

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title = "Disturbance decoupling of uncertain nonlinear delayed systems",

abstract = "The disturbance decoupling problem is investigated for a class of uncertain delayed nonlinear systems, and a sufficient and necessary condition, under which the output is completely decoupled from the disturbance, is acquired. When the disturbance is measurable, a variable structure decoupling control design scheme is proposed based on the neural network. The scheme utilizes the ability that a neural network can arbitrarily approach a nonlinear function, then introduces a compensation part for the disturbance in the control. Thus the systems can keep the stability and good performance even when the disturbance doesn't satisfy the decoupling condition.Effectiveness of the proposed scheme is tested by an illustrative example.",

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author = "Hongxia Meng and Yingmin Jia",

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TY - CONF

T1 - Disturbance decoupling of uncertain nonlinear delayed systems

AU - Meng, Hongxia

AU - Jia, Yingmin

PY - 2004

Y1 - 2004

N2 - The disturbance decoupling problem is investigated for a class of uncertain delayed nonlinear systems, and a sufficient and necessary condition, under which the output is completely decoupled from the disturbance, is acquired. When the disturbance is measurable, a variable structure decoupling control design scheme is proposed based on the neural network. The scheme utilizes the ability that a neural network can arbitrarily approach a nonlinear function, then introduces a compensation part for the disturbance in the control. Thus the systems can keep the stability and good performance even when the disturbance doesn't satisfy the decoupling condition.Effectiveness of the proposed scheme is tested by an illustrative example.

AB - The disturbance decoupling problem is investigated for a class of uncertain delayed nonlinear systems, and a sufficient and necessary condition, under which the output is completely decoupled from the disturbance, is acquired. When the disturbance is measurable, a variable structure decoupling control design scheme is proposed based on the neural network. The scheme utilizes the ability that a neural network can arbitrarily approach a nonlinear function, then introduces a compensation part for the disturbance in the control. Thus the systems can keep the stability and good performance even when the disturbance doesn't satisfy the decoupling condition.Effectiveness of the proposed scheme is tested by an illustrative example.

KW - Disturbance decoupling

KW - Neural network

KW - Uncertain nonlinear delayed systems

KW - Variable structure control

UR - https://www.scopus.com/pages/publications/17744376857

M3 - 论文

AN - SCOPUS:17744376857

SP - 1364

EP - 1369

T2 - 2004 IEEE International Conference on Control Applications

Y2 - 2 September 2004 through 4 September 2004

ER -

Disturbance decoupling of uncertain nonlinear delayed systems

Abstract

Conference

Keywords

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Cite this