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Proceedings Paper

Class of dynamic hysteresis operators and young measure representations
Author(s): Andrew J. Kurdila; Jing Li
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Paper Abstract

Previous research has demonstrated that rigorous modeling and identification theory can be derived for structural dynamical models that incorporate control influence operators that are static Krasnoselskii-Pokrovskii integral hysteresis operators. Experimental evidence likewise has shown that some dynamic hysteresis models provide more accurate representations of a class of structural systems actuated by some active materials including shape memory alloys and piezoceramics. In this paper, we show that the representation of control influence operators via static hysteresis operators can be interpreted in terms of a homogeneous Young's measure. Within this framework, we subsequently derive dynamic hysteresis operators represented in terms of Young's measures that are parameterized in time. We show that the resulting integrodifferential equations are similar to the class of relaxed controls discussed by Warga10, Gamkrelidze24, and Roubicek25. The formulation presented here differs from that studied in 10, 24 and 25 in that the kernel of the hysteresis operator is a history dependent functional, as opposed to Caratheodory integral satisfying a growth condition. The theory presented provides representations of dynamic hysteresis operators that have provided good agrement with experimental behavior in some active materials. The convergence of finite dimensional approximations of the governing equations is also proven.

Paper Details

Date Published: 19 June 2000
PDF: 12 pages
Proc. SPIE 3984, Smart Structures and Materials 2000: Mathematics and Control in Smart Structures, (19 June 2000); doi: 10.1117/12.388759
Show Author Affiliations
Andrew J. Kurdila, Univ. of Florida (United States)
Jing Li, Univ. of Florida (United States)


Published in SPIE Proceedings Vol. 3984:
Smart Structures and Materials 2000: Mathematics and Control in Smart Structures
Vasundara V. Varadan, Editor(s)

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