Adaptive control of nonlinear systems with neural networks

G. Feng; C. K. Chak

Adaptive control of nonlinear systems with neural networks

G. Feng
, C. K. Chak

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

Abstract

Based on Radial Basis Function neural networks, a stable adaptive control scheme is proposed for a class of unknown nonlinear dynamic systems. It is shown that the scheme is stable and convergent in the sense that all the signal in the loop remain bounded, and in the ideal case, output tracking error will converge to zero and in the non-ideal case, the error will converge to a residue which is proportional to the modelling error bound.

Original language	English
Title of host publication	Proceedings of the Electrical Engineering Congress 1994. Part 2
Pages	587-590
Volume	2
Publication status	Published - 1994
Externally published	Yes
Event	Proceedings of the Electrical Engineering Congress 1994. Part 2 (of 2) - Sydney, Aust Duration: 24 Nov 1994 → 30 Nov 1994

Conference

Conference	Proceedings of the Electrical Engineering Congress 1994. Part 2 (of 2)
City	Sydney, Aust
Period	24/11/94 → 30/11/94

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@inproceedings{d5f6af1fc5e7432584474c301fa18b81,

title = "Adaptive control of nonlinear systems with neural networks",

abstract = "Based on Radial Basis Function neural networks, a stable adaptive control scheme is proposed for a class of unknown nonlinear dynamic systems. It is shown that the scheme is stable and convergent in the sense that all the signal in the loop remain bounded, and in the ideal case, output tracking error will converge to zero and in the non-ideal case, the error will converge to a residue which is proportional to the modelling error bound.",

author = "G. Feng and Chak, \{C. K.\}",

year = "1994",

language = "English",

isbn = "03136922",

volume = "2",

pages = "587--590",

booktitle = "Proceedings of the Electrical Engineering Congress 1994. Part 2",

note = "Proceedings of the Electrical Engineering Congress 1994. Part 2 (of 2) ; Conference date: 24-11-1994 Through 30-11-1994",

}

TY - GEN

T1 - Adaptive control of nonlinear systems with neural networks

AU - Feng, G.

AU - Chak, C. K.

PY - 1994

Y1 - 1994

N2 - Based on Radial Basis Function neural networks, a stable adaptive control scheme is proposed for a class of unknown nonlinear dynamic systems. It is shown that the scheme is stable and convergent in the sense that all the signal in the loop remain bounded, and in the ideal case, output tracking error will converge to zero and in the non-ideal case, the error will converge to a residue which is proportional to the modelling error bound.

AB - Based on Radial Basis Function neural networks, a stable adaptive control scheme is proposed for a class of unknown nonlinear dynamic systems. It is shown that the scheme is stable and convergent in the sense that all the signal in the loop remain bounded, and in the ideal case, output tracking error will converge to zero and in the non-ideal case, the error will converge to a residue which is proportional to the modelling error bound.

UR - https://www.scopus.com/pages/publications/0028711981

UR - https://www.scopus.com/pages/publications/0028711981#tab=impact

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 03136922

VL - 2

SP - 587

EP - 590

BT - Proceedings of the Electrical Engineering Congress 1994. Part 2

T2 - Proceedings of the Electrical Engineering Congress 1994. Part 2 (of 2)

Y2 - 24 November 1994 through 30 November 1994

ER -

Adaptive control of nonlinear systems with neural networks

Abstract

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