Neural control for a perturbed vehicle steering system using parameter plane method

Jau Woei Perng; Bing-Fei Wu; Tsu Tian Lee

doi:10.1109/ICSMC.2005.1571659

Neural control for a perturbed vehicle steering system using parameter plane method

Jau Woei Perng^*, Bing-Fei Wu, Tsu Tian Lee

^*Corresponding author for this work

Department of Electrical and Computer Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Scopus citations

Abstract

The robust stability analysis of a neural control based vehicle steering system is considered in this paper. The neural controller can be linearized by the use of describing function first. Since the perturbed parameters including velocity and friction are existed in the vehicle steering system, the stability of equivalent linearized system is then analyzed by using the parameter plane method. According to this procedure, the amplitude and frequency of limit cycles caused by the neural controller cart be figured out clearly in the parameter plane. Moreover, the limit cycles may be suppressed by adjusting the control factors carefully. Computer simulation shows the efficiency of this approach.

Original language	English
Pages (from-to)	3325-3330
Number of pages	6
Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	4
DOIs	https://doi.org/10.1109/ICSMC.2005.1571659
State	Published - 30 Nov 2005
Event	IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics - Waikoloa, HI, United States Duration: 10 Oct 2005 → 12 Oct 2005

Keywords

Describing function
Limit cycle
Neural
Parameter plane
Vehicle

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10.1109/ICSMC.2005.1571659

Cite this

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title = "Neural control for a perturbed vehicle steering system using parameter plane method",

abstract = "The robust stability analysis of a neural control based vehicle steering system is considered in this paper. The neural controller can be linearized by the use of describing function first. Since the perturbed parameters including velocity and friction are existed in the vehicle steering system, the stability of equivalent linearized system is then analyzed by using the parameter plane method. According to this procedure, the amplitude and frequency of limit cycles caused by the neural controller cart be figured out clearly in the parameter plane. Moreover, the limit cycles may be suppressed by adjusting the control factors carefully. Computer simulation shows the efficiency of this approach.",

keywords = "Describing function, Limit cycle, Neural, Parameter plane, Vehicle",

author = "Perng, {Jau Woei} and Bing-Fei Wu and Lee, {Tsu Tian}",

year = "2005",

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doi = "10.1109/ICSMC.2005.1571659",

language = "English",

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journal = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

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TY - JOUR

T1 - Neural control for a perturbed vehicle steering system using parameter plane method

AU - Perng, Jau Woei

AU - Wu, Bing-Fei

AU - Lee, Tsu Tian

PY - 2005/11/30

Y1 - 2005/11/30

N2 - The robust stability analysis of a neural control based vehicle steering system is considered in this paper. The neural controller can be linearized by the use of describing function first. Since the perturbed parameters including velocity and friction are existed in the vehicle steering system, the stability of equivalent linearized system is then analyzed by using the parameter plane method. According to this procedure, the amplitude and frequency of limit cycles caused by the neural controller cart be figured out clearly in the parameter plane. Moreover, the limit cycles may be suppressed by adjusting the control factors carefully. Computer simulation shows the efficiency of this approach.

AB - The robust stability analysis of a neural control based vehicle steering system is considered in this paper. The neural controller can be linearized by the use of describing function first. Since the perturbed parameters including velocity and friction are existed in the vehicle steering system, the stability of equivalent linearized system is then analyzed by using the parameter plane method. According to this procedure, the amplitude and frequency of limit cycles caused by the neural controller cart be figured out clearly in the parameter plane. Moreover, the limit cycles may be suppressed by adjusting the control factors carefully. Computer simulation shows the efficiency of this approach.

KW - Describing function

KW - Limit cycle

KW - Neural

KW - Parameter plane

KW - Vehicle

UR - http://www.scopus.com/inward/record.url?scp=27944470850&partnerID=8YFLogxK

U2 - 10.1109/ICSMC.2005.1571659

DO - 10.1109/ICSMC.2005.1571659

M3 - Conference article

AN - SCOPUS:27944470850

SN - 1062-922X

VL - 4

SP - 3325

EP - 3330

JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

T2 - IEEE Systems, Man and Cybernetics Society, Proceedings - 2005 International Conference on Systems, Man and Cybernetics

Y2 - 10 October 2005 through 12 October 2005

ER -

Neural control for a perturbed vehicle steering system using parameter plane method

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Keywords

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