Neural network-based control of nonlinear dynamical systems

Xuemei Ren; Wei Huo

Neural network-based control of nonlinear dynamical systems

Xuemei Ren^*
, Wei Huo

^*此作品的通讯作者

Beihang University

科研成果: 期刊稿件 › 会议文章 › 同行评审

摘要

This paper investigates neural network controllers to achieve output tracking for a class of SISO nonlinear systems. A discrete-time control strategy is introduced by means of employing the neural networks for direct on-line estimation of the required feedforward control input. The parameters of the networks are updated according to a modified back propagation algorithm. Under appropriate conditions the stability of the neural network control system is rigorously analyzed.

源语言	英语
页（从-至）	4263-4264
页数	2
期刊	Proceedings of the American Control Conference
卷	6
出版状态	已出版 - 1995
已对外发布	是
活动	Proceedings of the 1995 American Control Conference. Part 1 (of 6) - Seattle, WA, USA 期限: 21 6月 1995 → 23 6月 1995

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title = "Neural network-based control of nonlinear dynamical systems",

abstract = "This paper investigates neural network controllers to achieve output tracking for a class of SISO nonlinear systems. A discrete-time control strategy is introduced by means of employing the neural networks for direct on-line estimation of the required feedforward control input. The parameters of the networks are updated according to a modified back propagation algorithm. Under appropriate conditions the stability of the neural network control system is rigorously analyzed.",

author = "Xuemei Ren and Wei Huo",

year = "1995",

language = "English",

volume = "6",

pages = "4263--4264",

journal = "Proceedings of the American Control Conference",

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T1 - Neural network-based control of nonlinear dynamical systems

AU - Ren, Xuemei

AU - Huo, Wei

PY - 1995

Y1 - 1995

N2 - This paper investigates neural network controllers to achieve output tracking for a class of SISO nonlinear systems. A discrete-time control strategy is introduced by means of employing the neural networks for direct on-line estimation of the required feedforward control input. The parameters of the networks are updated according to a modified back propagation algorithm. Under appropriate conditions the stability of the neural network control system is rigorously analyzed.

AB - This paper investigates neural network controllers to achieve output tracking for a class of SISO nonlinear systems. A discrete-time control strategy is introduced by means of employing the neural networks for direct on-line estimation of the required feedforward control input. The parameters of the networks are updated according to a modified back propagation algorithm. Under appropriate conditions the stability of the neural network control system is rigorously analyzed.

UR - https://www.scopus.com/pages/publications/0029191870

M3 - Conference article

AN - SCOPUS:0029191870

SN - 0743-1619

VL - 6

SP - 4263

EP - 4264

JO - Proceedings of the American Control Conference

JF - Proceedings of the American Control Conference

T2 - Proceedings of the 1995 American Control Conference. Part 1 (of 6)

Y2 - 21 June 1995 through 23 June 1995

ER -

Neural network-based control of nonlinear dynamical systems

摘要

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