Variable structured properties in fuzzy logic control

H. X. Li; S. K. Tso

Variable structured properties in fuzzy logic control

City University of Hong Kong

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

1 Citation (Scopus)

Abstract

Both qualitative and quantitative studies in this paper show that the conventional fuzzy logic control (FLC) has the feature of variable structure control (VSC). The mathematical models of FLC, including both fuzzy two-term control and fuzzy-PID control, are derived for the quantitative analysis. These models clearly show the VSC feature of FLC, and reveal that this feature can be adjusted by scaling gains and membership functions (MFs). Large gains and more MFs result in stronger VSC effect, and vice versa. The simulation confirms these theoretical results. As VSC is usually better for the complex process, its influence on FLC design and tuning is significant. The VSC feature of FLC will help to understand why FLC can achieve a robust performance for the complex process.

Original language	English
Title of host publication	IEEE International Conference on Fuzzy Systems
Publisher	IEEE
Pages	337-341
Volume	1
Publication status	Published - 1998
Event	Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2) - Anchorage, AK, USA Duration: 4 May 1998 → 9 May 1998

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Name
Volume	1

Conference

Conference	Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2)
City	Anchorage, AK, USA
Period	4/05/98 → 9/05/98

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@inproceedings{796987d8df104f73858d0d679f270477,

title = "Variable structured properties in fuzzy logic control",

abstract = "Both qualitative and quantitative studies in this paper show that the conventional fuzzy logic control (FLC) has the feature of variable structure control (VSC). The mathematical models of FLC, including both fuzzy two-term control and fuzzy-PID control, are derived for the quantitative analysis. These models clearly show the VSC feature of FLC, and reveal that this feature can be adjusted by scaling gains and membership functions (MFs). Large gains and more MFs result in stronger VSC effect, and vice versa. The simulation confirms these theoretical results. As VSC is usually better for the complex process, its influence on FLC design and tuning is significant. The VSC feature of FLC will help to understand why FLC can achieve a robust performance for the complex process.",

author = "Li, {H. X.} and Tso, {S. K.}",

year = "1998",

language = "English",

volume = "1",

publisher = "IEEE",

pages = "337--341",

booktitle = "IEEE International Conference on Fuzzy Systems",

address = "United States",

note = "Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2) ; Conference date: 04-05-1998 Through 09-05-1998",

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TY - GEN

T1 - Variable structured properties in fuzzy logic control

AU - Li, H. X.

AU - Tso, S. K.

PY - 1998

Y1 - 1998

N2 - Both qualitative and quantitative studies in this paper show that the conventional fuzzy logic control (FLC) has the feature of variable structure control (VSC). The mathematical models of FLC, including both fuzzy two-term control and fuzzy-PID control, are derived for the quantitative analysis. These models clearly show the VSC feature of FLC, and reveal that this feature can be adjusted by scaling gains and membership functions (MFs). Large gains and more MFs result in stronger VSC effect, and vice versa. The simulation confirms these theoretical results. As VSC is usually better for the complex process, its influence on FLC design and tuning is significant. The VSC feature of FLC will help to understand why FLC can achieve a robust performance for the complex process.

AB - Both qualitative and quantitative studies in this paper show that the conventional fuzzy logic control (FLC) has the feature of variable structure control (VSC). The mathematical models of FLC, including both fuzzy two-term control and fuzzy-PID control, are derived for the quantitative analysis. These models clearly show the VSC feature of FLC, and reveal that this feature can be adjusted by scaling gains and membership functions (MFs). Large gains and more MFs result in stronger VSC effect, and vice versa. The simulation confirms these theoretical results. As VSC is usually better for the complex process, its influence on FLC design and tuning is significant. The VSC feature of FLC will help to understand why FLC can achieve a robust performance for the complex process.

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UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0031645131&origin=recordpage

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

VL - 1

SP - 337

EP - 341

BT - IEEE International Conference on Fuzzy Systems

PB - IEEE

T2 - Proceedings of the 1998 IEEE International Conference on Fuzzy Systems,. Part 2 (of 2)

Y2 - 4 May 1998 through 9 May 1998

ER -

Variable structured properties in fuzzy logic control

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