Fuzzy Membership Optimization via the Extended Kalman Filter

Daniel J. Simon

doi:10.1109/NAFIPS.2000.877443

Fuzzy Membership Optimization via the Extended Kalman Filter

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

Abstract

The generation of membership functions for fuzzy systems is a challenging problem. In this paper, we present a new scheme for optimizing Mamdani fuzzy controllers. We optimize the membership functions with an extended Kalman filter. We describe the algorithm and compare it with gradient descent optimization of fuzzy membership functions. The methods discussed in this paper are illustrated on a simple automotive cruise control problem. We demonstrate that the Kalman filter can be an effective tool for improving the performance of a fuzzy controller

Original language	American English
Journal	Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American
DOIs	https://doi.org/10.1109/NAFIPS.2000.877443
State	Published - Jul 1 2000

Keywords

Mamdani fuzzy controller optimization
Automotive cruise control
Extended Kalman filter
Fuzzy membership optimization
Fuzzy systems
Gradient descent optimization
Membership function generation
Performance improvement

Disciplines

Electrical and Computer Engineering

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10.1109/NAFIPS.2000.877443License: CC BY

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=877443

Cite this

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title = "Fuzzy Membership Optimization via the Extended Kalman Filter",

abstract = " The generation of membership functions for fuzzy systems is a challenging problem. In this paper, we present a new scheme for optimizing Mamdani fuzzy controllers. We optimize the membership functions with an extended Kalman filter. We describe the algorithm and compare it with gradient descent optimization of fuzzy membership functions. The methods discussed in this paper are illustrated on a simple automotive cruise control problem. We demonstrate that the Kalman filter can be an effective tool for improving the performance of a fuzzy controller",

keywords = "Mamdani fuzzy controller optimization, Automotive cruise control, Extended Kalman filter, Fuzzy membership optimization, Fuzzy systems, Gradient descent optimization, Membership function generation, Performance improvement",

author = "Simon, \{Daniel J.\}",

note = "D. Simon. (2000). Fuzzy Membership Optimization via the Extended Kalman Filter. North American Fuzzy Information Processing Society Conference, 311-315.",

year = "2000",

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N2 - The generation of membership functions for fuzzy systems is a challenging problem. In this paper, we present a new scheme for optimizing Mamdani fuzzy controllers. We optimize the membership functions with an extended Kalman filter. We describe the algorithm and compare it with gradient descent optimization of fuzzy membership functions. The methods discussed in this paper are illustrated on a simple automotive cruise control problem. We demonstrate that the Kalman filter can be an effective tool for improving the performance of a fuzzy controller

AB - The generation of membership functions for fuzzy systems is a challenging problem. In this paper, we present a new scheme for optimizing Mamdani fuzzy controllers. We optimize the membership functions with an extended Kalman filter. We describe the algorithm and compare it with gradient descent optimization of fuzzy membership functions. The methods discussed in this paper are illustrated on a simple automotive cruise control problem. We demonstrate that the Kalman filter can be an effective tool for improving the performance of a fuzzy controller

KW - Mamdani fuzzy controller optimization

KW - Automotive cruise control

KW - Extended Kalman filter

KW - Fuzzy membership optimization

KW - Fuzzy systems

KW - Gradient descent optimization

KW - Membership function generation

KW - Performance improvement

UR - https://engagedscholarship.csuohio.edu/enece_facpub/154

UR - http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=877443

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DO - 10.1109/NAFIPS.2000.877443

M3 - Article

JO - Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American

JF - Fuzzy Information Processing Society, 2000. NAFIPS. 19th International Conference of the North American

ER -

Fuzzy Membership Optimization via the Extended Kalman Filter

Abstract

Keywords

Disciplines

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