Fuzzy logic based control for sliding structures

Andrei M. Reinhorn; Ravi S. Subramaniam; Michael A. Riley

Fuzzy logic based control for sliding structures

Andrei M. Reinhorn
, Ravi S. Subramaniam
, Michael A. Riley

Department of Civil, Structural & Environmental Engineering

SUNY Buffalo

Research output: Contribution to conference › Paper › peer-review

2 Scopus citations

Abstract

Fuzzy logic (or fuzzy set theory) provides a simple framework to capture the effects of nonlinearities and uncertainties in a real problem, without an explicit model of the plant or controller. The applicability of this approach was first investigated analytically, and then verified using a benchmark experimental model, consisting of a 1:4 scale sliding base isolated system, controlled at its base by a servo-hydraulic actuator, with a digital computer to provide the control signal. The results from this study show the feasibility of the implementation of fuzzy logic to highly nonlinear problems.

Original language	English
Pages	298-309
Number of pages	12
State	Published - 1996
Event	Proceedings of the 1996 12th Conference on Analysis and Computation - Chicago, IL, USA Duration: Apr 15 1996 → Apr 18 1996

Conference

Conference	Proceedings of the 1996 12th Conference on Analysis and Computation
City	Chicago, IL, USA
Period	04/15/96 → 04/18/96

Cite this

@conference{8d1857ee132345bbb9b01567a066a7a6,

title = "Fuzzy logic based control for sliding structures",

abstract = "Fuzzy logic (or fuzzy set theory) provides a simple framework to capture the effects of nonlinearities and uncertainties in a real problem, without an explicit model of the plant or controller. The applicability of this approach was first investigated analytically, and then verified using a benchmark experimental model, consisting of a 1:4 scale sliding base isolated system, controlled at its base by a servo-hydraulic actuator, with a digital computer to provide the control signal. The results from this study show the feasibility of the implementation of fuzzy logic to highly nonlinear problems.",

author = "Reinhorn, \{Andrei M.\} and Subramaniam, \{Ravi S.\} and Riley, \{Michael A.\}",

year = "1996",

language = "English",

pages = "298--309",

note = "Proceedings of the 1996 12th Conference on Analysis and Computation ; Conference date: 15-04-1996 Through 18-04-1996",

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TY - CONF

T1 - Fuzzy logic based control for sliding structures

AU - Reinhorn, Andrei M.

AU - Subramaniam, Ravi S.

AU - Riley, Michael A.

PY - 1996

Y1 - 1996

N2 - Fuzzy logic (or fuzzy set theory) provides a simple framework to capture the effects of nonlinearities and uncertainties in a real problem, without an explicit model of the plant or controller. The applicability of this approach was first investigated analytically, and then verified using a benchmark experimental model, consisting of a 1:4 scale sliding base isolated system, controlled at its base by a servo-hydraulic actuator, with a digital computer to provide the control signal. The results from this study show the feasibility of the implementation of fuzzy logic to highly nonlinear problems.

AB - Fuzzy logic (or fuzzy set theory) provides a simple framework to capture the effects of nonlinearities and uncertainties in a real problem, without an explicit model of the plant or controller. The applicability of this approach was first investigated analytically, and then verified using a benchmark experimental model, consisting of a 1:4 scale sliding base isolated system, controlled at its base by a servo-hydraulic actuator, with a digital computer to provide the control signal. The results from this study show the feasibility of the implementation of fuzzy logic to highly nonlinear problems.

UR - https://www.scopus.com/pages/publications/0029777909

M3 - Paper

AN - SCOPUS:0029777909

SP - 298

EP - 309

T2 - Proceedings of the 1996 12th Conference on Analysis and Computation

Y2 - 15 April 1996 through 18 April 1996

ER -

Fuzzy logic based control for sliding structures

Abstract

Conference

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