Adaptive neural network l2-gain control for unmodeled dynamics nonlinear system

Ge Si Wang; Zhi Gang Yu; Shen Min Song

doi:10.4028/www.scientific.net/KEM.419-420.561

Adaptive neural network l₂-gain control for unmodeled dynamics nonlinear system

Ge Si Wang^*
, Zhi Gang Yu
, Shen Min Song

^*Corresponding author for this work

School of Astronautics

College of Information and Communication Engineering, Harbin Engineering University
Harbin Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

A new control scheme is proposed for the nonlinear system with unmodeled dynamics based on HJI and adaptive neural network L₂-gain controller. The aim is to make the closed-loop system a finite gain L₂ stable between the disturbance and output of the system. The approach will avoid the limit of precise modelling, only need the unmodeled dynamics to be bounded without the other transcendent information. The simulation results show that the control system designed can satisfy the performance indicators proposed.

Original language	English
Pages (from-to)	561-564
Number of pages	4
Journal	Key Engineering Materials
Volume	419-420
DOIs	https://doi.org/10.4028/www.scientific.net/KEM.419-420.561
State	Published - 2010

Keywords

Adaptive control
L-gain control
Neural network
Nonlinear system
Unmodeled dynamics

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Cite this

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title = "Adaptive neural network l2-gain control for unmodeled dynamics nonlinear system",

abstract = "A new control scheme is proposed for the nonlinear system with unmodeled dynamics based on HJI and adaptive neural network L2-gain controller. The aim is to make the closed-loop system a finite gain L2 stable between the disturbance and output of the system. The approach will avoid the limit of precise modelling, only need the unmodeled dynamics to be bounded without the other transcendent information. The simulation results show that the control system designed can satisfy the performance indicators proposed.",

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AU - Wang, Ge Si

AU - Yu, Zhi Gang

AU - Song, Shen Min

PY - 2010

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N2 - A new control scheme is proposed for the nonlinear system with unmodeled dynamics based on HJI and adaptive neural network L2-gain controller. The aim is to make the closed-loop system a finite gain L2 stable between the disturbance and output of the system. The approach will avoid the limit of precise modelling, only need the unmodeled dynamics to be bounded without the other transcendent information. The simulation results show that the control system designed can satisfy the performance indicators proposed.

AB - A new control scheme is proposed for the nonlinear system with unmodeled dynamics based on HJI and adaptive neural network L2-gain controller. The aim is to make the closed-loop system a finite gain L2 stable between the disturbance and output of the system. The approach will avoid the limit of precise modelling, only need the unmodeled dynamics to be bounded without the other transcendent information. The simulation results show that the control system designed can satisfy the performance indicators proposed.

KW - Adaptive control

KW - L-gain control

KW - Neural network

KW - Nonlinear system

KW - Unmodeled dynamics

UR - https://www.scopus.com/pages/publications/70350510509

U2 - 10.4028/www.scientific.net/KEM.419-420.561

DO - 10.4028/www.scientific.net/KEM.419-420.561

M3 - 文章

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SN - 1013-9826

VL - 419-420

SP - 561

EP - 564

JO - Key Engineering Materials

JF - Key Engineering Materials

ER -

Adaptive neural network l₂-gain control for unmodeled dynamics nonlinear system

Abstract

Keywords

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