Fuzzy control using intuitive image analysis

Guan Ming Chen; Ping Zong Lin; Wei Yen Wang; Tsu Tian Lee; Chi Hsu Wang

doi:10.1109/HSI.2008.4581471

Fuzzy control using intuitive image analysis

Guan Ming Chen^*, Ping Zong Lin, Wei Yen Wang, Tsu Tian Lee, Chi Hsu Wang

^*Corresponding author for this work

Department of Electrical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

In this paper, a novel fuzzy control scheme using intuitive image analysis is developed to imitate the intuitive human control behavior determined through human eyes. A CCD camera is used to gather the images of the controlled plant, and a simple algorithm is proposed to analyze the images. Unlike that in the visual servo control systems, the image information is utilized in a more intuitive way via the proposed image analysis algorithm. The difference between a reference image and the current image is numerically expressed and directly used by a fuzzy control system using a human-like control law. To investigate the effectiveness of the proposed fuzzy control scheme, it is applied to an inverted pendulum system. Simulation results show that the proposed scheme can achieve favorable tracking performance without prior knowledge of the controlled plant.

Original language	English
Title of host publication	2008 Conference on Human System Interaction, HSI 2008
Pages	394-399
Number of pages	6
DOIs	https://doi.org/10.1109/HSI.2008.4581471
Publication status	Published - 2008
Event	2008 Conference on Human System Interaction, HSI 2008 - Krakow, Poland Duration: 2008 May 25 → 2008 May 27

Publication series

Name	2008 Conference on Human System Interaction, HSI 2008

Other

Other	2008 Conference on Human System Interaction, HSI 2008
Country/Territory	Poland
City	Krakow
Period	2008/05/25 → 2008/05/27

Keywords

Fuzzy logic systems
Image-based
Visual servo control

ASJC Scopus subject areas

Human-Computer Interaction

Access to Document

10.1109/HSI.2008.4581471

Cite this

@inproceedings{1cbcdcff11244a219f81ed64bd04eccc,

title = "Fuzzy control using intuitive image analysis",

abstract = "In this paper, a novel fuzzy control scheme using intuitive image analysis is developed to imitate the intuitive human control behavior determined through human eyes. A CCD camera is used to gather the images of the controlled plant, and a simple algorithm is proposed to analyze the images. Unlike that in the visual servo control systems, the image information is utilized in a more intuitive way via the proposed image analysis algorithm. The difference between a reference image and the current image is numerically expressed and directly used by a fuzzy control system using a human-like control law. To investigate the effectiveness of the proposed fuzzy control scheme, it is applied to an inverted pendulum system. Simulation results show that the proposed scheme can achieve favorable tracking performance without prior knowledge of the controlled plant.",

keywords = "Fuzzy logic systems, Image-based, Visual servo control",

author = "Chen, {Guan Ming} and Lin, {Ping Zong} and Wang, {Wei Yen} and Lee, {Tsu Tian} and Wang, {Chi Hsu}",

year = "2008",

doi = "10.1109/HSI.2008.4581471",

language = "English",

isbn = "1424415438",

series = "2008 Conference on Human System Interaction, HSI 2008",

pages = "394--399",

booktitle = "2008 Conference on Human System Interaction, HSI 2008",

note = "2008 Conference on Human System Interaction, HSI 2008 ; Conference date: 25-05-2008 Through 27-05-2008",

}

TY - GEN

T1 - Fuzzy control using intuitive image analysis

AU - Chen, Guan Ming

AU - Lin, Ping Zong

AU - Wang, Wei Yen

AU - Lee, Tsu Tian

AU - Wang, Chi Hsu

PY - 2008

Y1 - 2008

N2 - In this paper, a novel fuzzy control scheme using intuitive image analysis is developed to imitate the intuitive human control behavior determined through human eyes. A CCD camera is used to gather the images of the controlled plant, and a simple algorithm is proposed to analyze the images. Unlike that in the visual servo control systems, the image information is utilized in a more intuitive way via the proposed image analysis algorithm. The difference between a reference image and the current image is numerically expressed and directly used by a fuzzy control system using a human-like control law. To investigate the effectiveness of the proposed fuzzy control scheme, it is applied to an inverted pendulum system. Simulation results show that the proposed scheme can achieve favorable tracking performance without prior knowledge of the controlled plant.

AB - In this paper, a novel fuzzy control scheme using intuitive image analysis is developed to imitate the intuitive human control behavior determined through human eyes. A CCD camera is used to gather the images of the controlled plant, and a simple algorithm is proposed to analyze the images. Unlike that in the visual servo control systems, the image information is utilized in a more intuitive way via the proposed image analysis algorithm. The difference between a reference image and the current image is numerically expressed and directly used by a fuzzy control system using a human-like control law. To investigate the effectiveness of the proposed fuzzy control scheme, it is applied to an inverted pendulum system. Simulation results show that the proposed scheme can achieve favorable tracking performance without prior knowledge of the controlled plant.

KW - Fuzzy logic systems

KW - Image-based

KW - Visual servo control

UR - http://www.scopus.com/inward/record.url?scp=51849106479&partnerID=8YFLogxK

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U2 - 10.1109/HSI.2008.4581471

DO - 10.1109/HSI.2008.4581471

M3 - Conference contribution

AN - SCOPUS:51849106479

SN - 1424415438

SN - 9781424415434

T3 - 2008 Conference on Human System Interaction, HSI 2008

SP - 394

EP - 399

BT - 2008 Conference on Human System Interaction, HSI 2008

T2 - 2008 Conference on Human System Interaction, HSI 2008

Y2 - 25 May 2008 through 27 May 2008

ER -

Fuzzy control using intuitive image analysis

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Keywords

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